KR20180063734A - Method and Apparatus for acquiring event image of vehicle - Google Patents

Abstract

According to one embodiment of the present invention, provided is a method for obtaining an event image of a vehicle, which is performed by an event image obtaining apparatus. The method comprises the following steps of: detecting whether or not an event about a vehicle occurs; obtaining driving information on a vehicle in which the event occurs; identifying neighboring vehicles located within a predetermined distance range from the vehicle in which the event occurs based on location information on the vehicle; determining target vehicles to be provided with an image about the event among the neighboring vehicles based on the obtained driving information; and receiving an image about the event from at least one of the predetermined target vehicles to be provided with the image.

Description

Technical Field [0001] The present invention relates to a method and apparatus for acquiring an event image of a vehicle,

The present invention relates to a method and apparatus for acquiring an event image of a vehicle. More particularly, the present invention relates to a method and apparatus for acquiring an image of an event generating vehicle from a peripheral vehicle of an event generating vehicle.

Various electronic equipments are provided in the vehicle to detect the driving environment of the vehicle. Such electronic equipment can measure driving information of a vehicle and can detect various events such as an accident situation occurring in a vehicle or a nearby vehicle.

As an example of utilizing the event detection function using the electronic equipment, the vehicle acquires an accident image occurring in the driving environment by using a video recording device. However, even if an event of a vehicle is detected using electronic equipment, it is difficult to identify a vehicle that acquires an image of an accident scene as a driver of the accident vehicle. Accordingly, it is difficult to acquire accident images Lt; / RTI >

 In order to solve such a problem, a method of identifying an adjacent vehicle by an accident vehicle through an inter-vehicle communication network and receiving an image from the identified nearby vehicle may be considered. However, even when the above-described method is used, the accident vehicle receives the accident image from the nearby vehicle and does not reflect the driving information of the accident vehicle and the characteristics of the accident place, . This causes a problem of consuming a lot of resources for sorting accident images. Furthermore, when an accident vehicle is not smoothly received due to equipment damage due to an accident, an accident image may not be collected.

Nevertheless, there is not provided a service for separately managing driving information and image information of an accident vehicle and a nearby vehicle, recognizing an accident situation, and collecting accident images related to an accident situation.

Korea Patent Publication No. 2011-00088012

SUMMARY OF THE INVENTION It is an object of the present invention to provide a method and apparatus for collecting driving information of a vehicle in real time to determine whether or not an event has occurred in a vehicle.

Specifically, a technical problem to be solved by the present invention is to provide a method and device for identifying the location of an event generating vehicle based on the running information of the vehicle, and searching for a nearby vehicle of the event generating vehicle.

In more detail, a technical problem to be solved by the present invention is to provide a method and an apparatus for selecting a vehicle having a high probability of acquiring an image of an event among nearby vehicles of an event generating vehicle. It is another object of the present invention to provide a method and apparatus for collecting an event image only from a vehicle that is likely to acquire an image of an event among peripheral vehicles of the event generating vehicle.

Another technical problem to be solved by the present invention is to provide a method and apparatus for automatically determining an accident situation of a vehicle based on driving information of the vehicle and performing an action related to the accident regardless of whether the vehicle is damaged or not .

It is another object of the present invention to provide a method and apparatus for dynamically changing an event image collection range.

It is another object of the present invention to provide a method and apparatus for determining causality between a plurality of events generated based on driving information of a vehicle.

The technical objects of the present invention are not limited to the above-mentioned technical problems, and other technical subjects not mentioned can be clearly understood by those skilled in the art from the following description.

According to another aspect of the present invention, there is provided a method for acquiring an event image of a vehicle, the method comprising: detecting whether an event has occurred to the vehicle; Identifying a nearby vehicle located within a predetermined distance range from the vehicle where the event has occurred based on the information about the location of the vehicle where the event occurred and the location information of the vehicle where the event occurred; And a step of receiving an image of the event from at least one vehicle among the determined vehicles to be provided with a vehicle.

According to one embodiment, the running information includes at least one of a running direction information of a vehicle in which the event received before the occurrence of the event, a running speed information of the vehicle in which the event occurred, a time information at which the event occurred, And at least one of the terrain information of the road on which the vehicle is traveling.

According to one embodiment, the method further comprises collecting the identifier information and the position information of the vehicle from each of the plurality of vehicles including the vehicle, wherein the step of detecting whether the event is generated includes receiving event information from the vehicle And detecting that an event has occurred in the vehicle if at least one of the identifier information and the position information is not received from the vehicle for a predetermined time.

According to an embodiment of the present invention, the method further includes acquiring travel information from each of the neighboring vehicles, and the step of determining a vehicle to be provided with the image for the event among the neighboring vehicles comprises: The driving information of the surrounding vehicle may include at least one of traveling direction information and traveling speed information of the surrounding vehicle.

According to one embodiment, the driving information includes event information of the vehicle in which the event occurs, and the method of acquiring an event image of the vehicle includes generating event information from an image of the received event, Comparing the generated event information with the generated event information; and when the generated event information and the event information on the running information do not match within a preset range, And re-determining the determined vehicle to be provided with the image.

According to one embodiment, the vehicle in which the event occurs includes a first vehicle in which a first event occurs and a second vehicle in which a second event occurs, and identifies a nearby vehicle located within a predetermined distance range from the vehicle where the event occurred Includes the steps of: identifying the second vehicle among nearby vehicles located within a predetermined distance range from the first vehicle; and determining a generation order of the first event and the second event based on the obtained running information Wherein the step of receiving an image for the event from at least one of the determined vehicles to be provided with the image comprises the steps of: determining, based on the determined generation order for the first event and the second event, Determining a section information of an image to be provided from at least one vehicle among the vehicles to be provided with images, It may comprise the step of receiving from the predetermined region at least one information of the vehicle, each of the image provided for the target vehicle image.

According to the present invention, there is an advantage that an event image can be acquired even in an environment in which an event generating vehicle can not receive an event image because the event generating vehicle does not collect the event image directly from the surrounding vehicles.

Further, according to the present invention, it is possible to select an event-image-presenting vehicle at the time of receiving an event image of the event-generating vehicle, thereby improving the accuracy of event image collection. In addition, since only an event image is received and unnecessary images are not collected, resources for event image acquisition can be saved.

In addition, according to the present invention, there is an advantage that accuracy of event image collection can be improved by dynamically changing an image collection range of an event generation vehicle for collection of an event image.

Further, according to the present invention, an event class is determined based on at least one of the event image and the running information, so that an appropriate action can be automatically executed for the event.

Further, according to the present invention, there is an effect that it is possible to determine the cause-and-effect relationship of occurrence of an event by grasping a temporal relation between a plurality of generated events.

The effects of the present invention are not limited to the above-mentioned effects, and other effects not mentioned can be clearly understood by those skilled in the art from the following description.

1 is a configuration diagram of an event image acquisition system of a vehicle according to an embodiment of the present invention.
2 is a block diagram of an apparatus for acquiring an event image of a vehicle according to another embodiment of the present invention.
3 is a flowchart of a method of acquiring an event image of a vehicle according to another embodiment of the present invention.
4 is a first exemplary view of a method of acquiring an event image of a vehicle, referred to in some embodiments of the present invention.
5 is a second exemplary view of a method of acquiring an event image of a vehicle, which is referred to in some embodiments of the present invention.
6 is a third exemplary view of a method of acquiring an event image of a vehicle, which is referred to in some embodiments of the present invention.
FIG. 7 is an exemplary view showing travel information of an event generating vehicle and a neighboring vehicle, which is referred to in some embodiments of the present invention. FIG.
Figure 8 is an illustration of driving information for a vehicle collected in an event image acquisition device of a vehicle, which is referenced in some embodiments of the present invention.
Figure 9 is an illustration of information about processing information by class of events, referred to in some embodiments of the present invention.
10 is an illustration of information for determining a causal relationship between a plurality of events, referred to in some embodiments of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS The advantages and features of the present invention, and the manner of achieving them, will be apparent from and elucidated with reference to the embodiments described hereinafter in conjunction with the accompanying drawings. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. Is provided to fully convey the scope of the invention to those skilled in the art, and the invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout the specification.

Unless defined otherwise, all terms (including technical and scientific terms) used herein may be used in a sense commonly understood by one of ordinary skill in the art to which this invention belongs. Also, commonly used predefined terms are not ideally or excessively interpreted unless explicitly defined otherwise. The terminology used herein is for the purpose of illustrating embodiments and is not intended to be limiting of the present invention. In the present specification, the singular form includes plural forms unless otherwise specified in the specification.

The term " event " in this specification includes a special condition occurring inside or outside the vehicle, that is, a failure or breakage of the vehicle and other difficulty in running. For example, when a collision accident occurs with another vehicle or a facility while the vehicle is running, such a collision accident may be included in the event of this specification. In another example, a case where a vehicle tire is punctured or a driving difficulty occurs due to a vehicle engine problem may also be included in the event of this specification. The event in this specification is not limited to the above example.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

1 is a configuration diagram of an event image acquisition system of a vehicle according to an embodiment of the present invention. Referring to FIG. 1, an event image acquisition system of a vehicle may include a plurality of vehicles 10, 20, 30, and 40, and an apparatus 100 for acquiring an event image of a vehicle.

The plurality of vehicles 10, 20, 30, and 40 may be a computing device that includes a communication module, transmits and receives various information through the communication module, and can operate on information. Specifically, the communication modules of the plurality of vehicles 10, 20, 30, and 40 may support communication with the event image acquisition apparatus 100 through the network 110. [

Each of the plurality of vehicles 10, 20, 30, and 40 may include various sensors for measuring the running direction, the running state, and the surrounding environment of the vehicle. For example, the vehicle may include various sensors such as a sensor for sensing the direction of the steering device, a speed sensor, an acceleration sensor, a tire pressure measurement sensor, a light receiving sensor, a temperature sensor, a humidity sensor, and an image sensor. In particular, the image sensor may be attached to at least one side of the vehicle to obtain an image of the surroundings of the vehicle. Each of the plurality of vehicles 10, 20, 30, and 40 may generate and calculate various information from the sensors thus provided.

The event image acquisition device 100 may be a computing device capable of communicating with a plurality of vehicles 10, 20, 30, For example, the event image acquisition device 100 may be a fixed computing device such as a desktop computer, a server device, or the like.

The network 110 may be provided by communication equipment supporting a mobile communication network and / or an internet network, and such communication equipment may include communication equipment, such as an RSU (Road Side Unit), for communicating with the vehicle have.

The event image acquiring apparatus 100 can collect the identifier information and the position information of the vehicle from each of the plurality of vehicles 10, 20, 30, and 40. The identifier information is unique information for distinguishing the vehicle from other vehicles, and the identifier information may be, for example, an identifier (ID) according to a protocol according to the V2X standard or a vehicle identification code widely known in the field to which the present invention belongs. The location information may include road information and terrain information on which the vehicle is located.

The event image acquisition apparatus 100 may detect whether or not an event has occurred with respect to the plurality of vehicles 10, 20, 30, and 40.

According to an example, the event image acquisition apparatus 100 can detect occurrence of an event of a vehicle by receiving event information from the vehicle. The event information may include, for example, the type of the event, the location where the event occurred inside or outside the vehicle, and the class information of the event. The rating information of the event is information indicating the degree of seriousness of the event and may be set in advance by the manager of the vehicle event image acquisition system or the event image acquisition apparatus 100. [

According to another example, the event image acquisition apparatus 100 may detect that an event has occurred in the vehicle when at least one of the identifier information and the position information is not received from the vehicle for a preset time.

That is, the event image acquisition apparatus 100 can receive the identifier information and the position information from the vehicle that is running or stopped, at predetermined intervals or in real time. The event image acquisition apparatus 100 periodically requests information on the vehicle, and the vehicle transmits a message indicating that the connection is maintained in response thereto, and transmits the identifier information and / or the position information on the vehicle to the event image acquisition apparatus 100 do. At this time, the event image acquisition apparatus 100 may detect that an event has occurred in the vehicle when the information is not received for a preset time after the final reception.

According to another example, the event image acquisition apparatus 100 may receive driving information of the vehicle, and may detect that an event has occurred in the vehicle when a speed change of a predetermined threshold or more is detected for a predetermined time.

The event image acquisition apparatus 100 may receive the running information of each vehicle from each of the plurality of vehicles 10, 20, 30,

For example, the driving information of the vehicle includes driving direction information of the vehicle where the event occurred before the occurrence of the event, driving speed information of the vehicle where the event occurred, time information at which the event occurred, And at least one of the terrain information of the road under running. The running information may also include event information. That is, the driving information may include the intensity of the impact received by the vehicle, and the position information of the impact.

1, an event has occurred in the vehicles 10 and 20 as the vehicle 10 and the vehicle 20 among the plurality of vehicles 10, 20, 30 and 40 collide. Hereinafter, an embodiment of the present invention will be described with reference to the vehicle 10 among vehicles in which an event has occurred.

The vehicle 10 can generate event information by measuring information such as the degree of impact caused by the event from the provided sensor, the position on the vehicle where the event occurs, and the like. In addition, the vehicle 10 can transmit the event information thus generated to the event image acquisition apparatus 100. [

The event image acquisition apparatus 100 may receive event information to detect occurrence of an event in the vehicle 10 and identify nearby vehicles 20, 30, and 40 within a predetermined distance range from the vehicle 10. In Fig. 1, a radius r is shown as an example of a preset distance range.

The event image acquisition apparatus 100 can determine the image providing target vehicle for the event among the identified neighboring vehicles and can receive the image of the event from the image providing target vehicle. In Fig. 1, vehicles 30 and 40 can be determined as vehicles to be provided with images. In this case, the vehicle 30 can acquire the collision image of the vehicle 10 and the vehicle 20 with the image sensor provided at the rear, and provide it to the event image acquisition apparatus 100, It is possible to acquire the collision image of the vehicle 10 and the vehicle 20 with the image sensor provided in the front side and to provide the collision image to the event image acquisition device 100. [

Hereinafter, the configuration and operation of the event image acquisition apparatus 100 will be described in more detail with reference to FIG. 2 is a block diagram of an apparatus 100 for acquiring an event image of a vehicle according to another embodiment of the present invention.

2, an event image acquisition apparatus 100 includes at least one processor 101, a network interface 102, a memory 103 for loading a computer program 105 performed by the processor 101, And a storage 104 for storing the computer program 105.

The processor 101 controls the overall operation of each configuration of the event image acquiring apparatus 100. The processor 101 may be implemented as a microprocessor including a central processing unit (CPU), a microprocessor unit (MPU), a microcontroller unit (MCU), an electronic control unit (ECU), or any type of processor well known in the art . The processor 101 may also perform operations on at least one application or program to perform the method according to embodiments of the present invention. The event image acquisition apparatus 100 may include one or more processors.

The network interface 102 supports wired / wireless network communication of the event image acquisition apparatus 100. In addition, the network interface 102 may support one or more communication methods. To that end, the network interface 102 may comprise one or more communication modules well known in the art.

The network interface 102 may be coupled to a monitoring system, a GPS system and / or an insurance service, a vehicle repair service, and an emergency rescue service based system for monitoring the driving situation of the vehicle through the network. The network interface 102 can receive the event information and the image of the event from the vehicle through the network and transmit various messages to the service based system according to the event processing information matched with the rating information of the event.

The memory 103 stores various data, commands and / or information. The memory 103 may load one or more programs 105 from the storage 104 to perform the method of acquiring an event image of a vehicle according to embodiments of the present invention. RAM is shown as an example of the memory 103 in Fig.

The storage 104 may store the one or more programs 105 non-provisionally. In FIG. 2, the image acquisition software 105 is illustrated as an example of the one or more programs 105. The storage 104 may store various kinds of information according to the embodiment of the present invention, for example, driving information data 106 of a vehicle and a contact database (DB) 107 for various service systems. The contact DB may include contact information associated with a specific portable terminal preset for each vehicle, insurance service, vehicle repair service, and emergency rescue service.

The storage 104 may be a nonvolatile memory such as a ROM (Read Only Memory), an EPROM (Erasable Programmable ROM), an Electrically Erasable Programmable ROM (EEPROM), a flash memory or the like, a hard disk, a removable disk, And any form of computer-readable recording medium known in the art.

The image acquisition software 105, as executed by the processor 101, may perform one or more operations for performing the functions and / or operations of the event image acquisition apparatus 100. This will be described later with reference to FIGS. 3 and 4. FIG.

In addition to the components shown in FIG. 2, the event image acquisition apparatus 100 may further include various components related to the embodiments of the present invention. For example, the event image acquisition apparatus 100 may include an input unit for inputting various settings and information, and an output unit for notifying an event occurring in the vehicle.

Hereinafter, embodiments of the present invention will be described in more detail based on the description of FIGS. 1 and 2.

3 is a flowchart of a method of acquiring an event image of a vehicle according to another embodiment of the present invention. Hereinafter, each step of FIG. 3 may be performed by the event image acquisition apparatus 100 described in FIG. Specifically, each of the steps described below is performed as the above-described processor 101 executes the image acquisition software.

Referring to FIG. 3, the event image acquisition apparatus 100 may detect whether an event is generated for the vehicle (S10). As described above, when the event information is received from the vehicle, or when the vehicle does not receive a response for a predetermined time, the event image acquisition apparatus 100 can sense occurrence of an event of the vehicle. Alternatively, the event image acquisition apparatus 100 may detect the occurrence of an event by sensing a situation such as sudden braking based on the running information of the vehicle.

As the occurrence of the event for the vehicle is detected, the event image acquisition apparatus 100 can acquire the travel information of the vehicle where the event occurred (S20).

The travel information may be acquired at a period different from the period during which the event image acquisition apparatus 100 collects the identifier information and / or the position information of the vehicle during the communication process between the event image acquisition apparatus 100 and the vehicle. Alternatively, the event image acquisition apparatus 100 may collect the travel information only when an event occurs in the vehicle.

That is, since the driving information may include various information such as the driving direction of the vehicle, the braking distance, the speed change, the secondary signal generation information, and so on, the event image acquisition apparatus 100 may acquire the identifier information And / or less frequently compared to location information.

The event image acquisition apparatus 100 may identify a nearby vehicle located within a predetermined distance range from the vehicle where the event occurred at the time of occurrence of the event, based on the location information of the vehicle where the event occurred (S30). The identified nearby vehicle may be one or more vehicles.

Based on the obtained travel information, the event image acquiring apparatus 100 can determine the image providing object vehicle for the event among the identified nearby vehicles (S40). Here, the vehicle to be provided with the image means a vehicle determined as a vehicle that provides the image to the event image acquisition apparatus 100 among peripheral vehicles.

According to the embodiment of the present invention, since the neighboring vehicle basically includes the image sensor, it is possible to acquire images of the surroundings of the vehicle at the time of occurrence of the event. However, the image acquired by some vehicles may not include an image of an event of the vehicle in which the event occurred according to the running speed of the vehicle, the running direction, or other traveling circumstances. When the event image acquisition apparatus 100 collects such an image, resources are wasted in acquiring an image for the event, so that the event image acquisition apparatus 100 needs to selectively receive images. Therefore, according to the embodiment of the present invention, the collection probability of an image for an event can be increased by selecting an image providing target vehicle among nearby vehicles and collecting images only from the selected image providing target vehicles.

The event image acquisition apparatus 100 may receive an image of an event from the determined image providing object vehicle (S50).

Hereinafter, embodiments of the present invention for determining a vehicle to which an image is to be provided will be described with reference to Figs. 4 to 6. Fig.

4 is a first exemplary view of a method of acquiring an event image of a vehicle, referred to in some embodiments of the present invention. In particular, in FIG. 4, a case where an event occurs when the vehicle 10 collides with the vehicle 20 has been illustrated. Hereinafter, the case where the vehicle detected as having an event in step S10 is the vehicle 10 will be described as an example.

4, the vehicle 20, the vehicle 40, the vehicle 60 and the vehicle 63 are running on the downhill lane 401 and the vehicle 10, the vehicle 30, The vehicle 50, the vehicle 61, and the vehicle 62 are running.

The event image acquisition apparatus 100 can identify a nearby vehicle within a predetermined radius r range as a nearby vehicle of the vehicle 10. [ Even when only a part of the vehicle is within the radius r, the event image acquisition apparatus 100 can identify the vehicle as a nearby vehicle. To this end, the event image acquisition apparatus 100 may receive location information of each vehicle in advance and identify the location of the vehicle in motion.

The event image acquisition apparatus 100 can identify the vehicle 20, the vehicle 30, the vehicle 40, the vehicle 50, the vehicle 60 and the vehicle 62 as nearby vehicles in step S30 . Since the vehicle 61 and the vehicle 63 are located outside the radius r, they are excluded from the surrounding vehicles.

In step S40, the event image acquisition apparatus 100 determines whether the vehicle 20, the vehicle 30, the vehicle 40, and the vehicle 50 among the peripheral vehicles 20, 30, 40, 50, And the vehicle 62 can be excluded from the image providing object vehicle. That is, based on the traveling information of the vehicle 10, the event-image capturing apparatus 100 can select the vehicle to be provided with the image among the surrounding vehicles. Specifically, the information of the lane 402 in which the vehicle 10 is traveling can be identified, and the position of the vehicle 10 can be identified. Also, based on the received travel information, the event image acquisition apparatus 100 can identify that an event has occurred in a location where the event occurred in the vehicle 10, i.e., in the left front area of the vehicle 10. [

Accordingly, the event image acquiring device 100 acquires the event image or event of the left front side of the vehicle 10 among the plurality of nearby vehicles 20, 30, 40, 50, 62 on the basis of the vehicle 10 It is possible to determine the vehicle 20, 30, 40, or 50 capable of acquiring the image of the process as the image providing target vehicle.

5 is a second exemplary view of a method of acquiring an event image of a vehicle, which is referred to in some embodiments of the present invention. In particular, in FIG. 5, a case where an event occurs when the vehicle 10 collides with the vehicle 511 has been illustrated. Hereinafter, the case where the vehicle detected as having an event in step S10 is the vehicle 10 will be described as an example.

5, the vehicle 521 and the vehicle 522 are running on the downhill lane 501 and the vehicle 10, the vehicle 511, the vehicle 512, the vehicle 513, And the vehicle 514 are running. 5, it is assumed that the downline lane 501 and the upcoming lane 502 are physically separated spaces to the median separator 500.

The event image acquisition apparatus 100 can identify a nearby vehicle within a predetermined radius r range as a nearby vehicle of the vehicle 10. [ To this end, the event image acquisition apparatus 100 may receive location information of each vehicle in advance and identify the location of the vehicle in motion.

The event image acquisition apparatus 100 can identify the vehicle 511, the vehicle 512, the vehicle 513, the vehicle 514, the vehicle 521, and the vehicle 522 as nearby vehicles in step S30 .

In step S40, the event image acquisition apparatus 100 determines whether the vehicle 511, the vehicle 512, the vehicle 513, and the vehicle 514 among the peripheral vehicles 511, 512, 513, 514, 521, And the vehicle 521 and the vehicle 522 can be excluded from the image providing object vehicle. Based on the running information of the vehicle 10, the event image capturing apparatus 100 can select the vehicle to be provided with the image among the surrounding vehicles. Specifically, the information of the lane 502 in which the vehicle 10 is traveling and the information of the road topography can be identified, and the position of the vehicle 10 can be identified. Accordingly, the event image capturing apparatus 100 recognizes that the vehicle 521, 522 traveling in the lane 501 can not acquire the event image, and can exclude the vehicle from the image providing object vehicle. For this purpose, the information of the road topography for selecting the vehicle to be provided with the image can be set in advance in the event image acquisition apparatus 100.

Accordingly, the event image acquisition apparatus 100 acquires the event image or event of the vehicle 10 among the plurality of peripheral vehicles 511, 512, 513, 514, 521, and 522 on the basis of the vehicle 10 It is possible to determine vehicles 511 512, 513, and 514 capable of acquiring images for the image providing target vehicle.

Furthermore, the event image acquisition apparatus 100 receives the travel information and the event information from the vehicle 10, identifies that an event has occurred in the right rear of the vehicle 10, The vehicle to be provided may be determined.

4 and 5, the case where the image providing target vehicle is determined on the basis of the position information, the running information of the vehicle 10 in which the event has occurred, and the position information of the surrounding vehicles has been mainly described, but according to another embodiment of the present invention , The event image acquisition apparatus 100 may receive the travel information of the nearby vehicle and determine the vehicle to be provided with the image. This will be described in detail with reference to FIG.

6 is a third exemplary view of a method of acquiring an event image of a vehicle, which is referred to in some embodiments of the present invention. In particular, in FIG. 6, a case where an event occurs when the vehicle 10 collides with the vehicle 601 has been illustrated. Hereinafter, the case where the vehicle detected as having occurred in step S10 is the vehicle 611 will be described as an example.

6, the vehicle 10, the vehicle 612, and the vehicle 616 are running on the lane 601 and the vehicle 611, the vehicle 614, and the vehicle 615 are running on the lane 602 It is. The lane 601 and the lane 602 are both upper lines.

The event image acquisition apparatus 100 can identify a nearby vehicle within a predetermined radius r range as a nearby vehicle of the vehicle 10. [ Even when only a part of the vehicle is within the radius r, the event image acquisition apparatus 100 can identify the vehicle as a nearby vehicle. To this end, the event image acquisition apparatus 100 may receive location information of each vehicle in advance and identify the location of the vehicle in motion.

The event image capturing apparatus 100 may identify the vehicle 10, the vehicle 612, the vehicle 614, and the vehicle 615 as nearby vehicles in step S30. The vehicle 616 is excluded from the surrounding vehicles because it is located outside the radius r. At this time, the event image acquisition apparatus 100 can receive the travel information from the neighboring vehicles 10, 612, 614, and 615, respectively. For example, the event image acquisition apparatus 100 may receive at least one of the traveling direction information and the traveling speed information from the neighboring vehicles 10, 612, 614, and 615.

The event image acquisition apparatus 100 can determine the image providing target vehicle among the peripheral vehicles 10, 612, 614, and 615 based on the traveling information of the nearby vehicles 10, 612, 614, and 615.

More specifically, in step S40, the event image acquisition apparatus 100 determines that the vehicle 10, the vehicle 612, and the vehicle 615 among the peripheral vehicles 10, 612, 614, , And the vehicle 614 can be excluded from the image-presenting vehicle. The event image acquisition apparatus 100 can detect that an event has occurred while the vehicle 611 is entering the lane 601 from the lane 602 based on the travel information of the vehicle 611. [ Alternatively, the event image acquisition apparatus 100 may receive event information from the vehicle 611 and identify that an event has occurred.

The event image acquisition apparatus 100 can also identify from the travel information of the received nearby vehicles 10, 612, 614, and 615 that the vehicle 614 is traveling in the right direction in the lane 602. [ The event image capturing apparatus 100 is running on the basis of the travel information of the vehicle 611 and the vehicle 614 so that the vehicle 611 and the vehicle 614 are traveling in the opposite directions away from each other, ), It can be excluded from the target vehicle. This is because it is difficult to acquire event images. That is, the event image acquisition apparatus 100 can determine the image providing target vehicle based on the position of each vehicle identified from the position information, the running direction and the speed information of each vehicle identified from the received running information. In addition, in addition, the event image acquisition apparatus 100 may receive event information from the vehicle 611, and may identify the left side that is the location where the event occurred in the vehicle 611, based on the received event information. Accordingly, the image capturing apparatus 100 may determine the image providing target vehicle by considering that the location where the event occurred in the vehicle 611 is the left front.

As a result, in the case of the vehicle 10, the position information of the vehicle 10 and the vehicle 611, the driving information 611, And / or the event information of the vehicle (611).

Meanwhile, according to another embodiment of the present invention, in step S30, the event image acquisition apparatus 100 may dynamically change a predetermined distance range in determining a nearby vehicle of a vehicle in which an event has occurred. Alternatively, the event image acquisition apparatus 100 may re-determine the image-presenting vehicle determined in step S40. To this end, it is assumed that the event image acquisition apparatus 100 can receive the position information of each vehicle in operation and identify the position of each vehicle. In this case, the event-image capturing apparatus 100 can identify the vehicle positioned within the radius r according to the initial setting as a nearby vehicle.

6, it is determined whether the vehicle 10, the vehicle 612, and / or the vehicle 60, among the peripheral vehicles 10, 612, 614, and 615, The vehicle 615 can be determined. In the process of determining a vehicle to be provided with an image, the event image acquisition apparatus 100 may receive event information. In the case of FIG. 6, the event acquiring device 100 can determine that an event has occurred in the left front of the vehicle 611, referring to the event information.

In step S50, the event image acquisition apparatus 100 may receive an image of an event from the image providing target vehicle 10, 612, and 615. [ The event image acquisition apparatus 100 may analyze an image of an event to identify an event generation process and an area of the vehicle 611 where the event occurs. The event image acquisition apparatus 100 may include at least one software module widely used in the field of image analysis technology. In addition, the processor 101 of the event image acquisition apparatus 100 may execute the at least one software module to classify an event from an image of a received event, and generate event information.

The event image acquisition apparatus 100 may compare event information received from the vehicle 611 with event information generated from the image of the received event. Through the comparison process, the event image acquisition apparatus 100 can determine whether the generated event information matches with the received event information within a preset range. If the generated event information matches the received event information within a predetermined range as a result of the matching, the event image acquisition apparatus 100 determines whether the vehicle exists in the vicinity of the vehicle in step S30, Since the vehicle determination can be relied on, the predetermined distance range of the step S30 is maintained, and information on the image providing object vehicle determined in the step S40 is stored.

On the other hand, if the event information generated within the predetermined range does not match the received event information, the event image acquisition device 100 determines the neighboring vehicle in step S30 and determines the vehicle to be provided in step S40 It is possible to change the predetermined distance range of step S30 or to perform the image providing object determination process again in step S40.

According to another embodiment of the present invention, in addition to selecting a vehicle to provide an image in step S40, the apparatus 100 for acquiring an event image may determine the amount of an image to be transmitted by the determined image providing vehicle have. That is, the event image acquisition apparatus 100 may determine a frame of an image transmitted by the image-presenting vehicle. This will be described with reference to FIG.

FIG. 7 is an exemplary view showing travel information of an event generating vehicle and a neighboring vehicle, which is referred to in some embodiments of the present invention. FIG.

7, the running information 710 is running information of the vehicle in which the event occurred, and an event occurred in the area 705 during the time interval 700 between t1 and t2. The travel information 720 is travel information of the nearby vehicle during the interval 700. [ Each arrow in the travel information 720 indicates a different vehicle, and the direction of an arrow indicates the traveling direction of each of the different vehicles. The travel information 710 and the travel information 720 are traveling information measured in the same lane.

Referring to the driving information 710 and the driving information 720, when an event occurs in the time zone 700 in the left lane area 705 of the vehicle where the event has occurred, 721, 722, 723, 724, 725, 726, 727, 728) can be identified as a nearby vehicle. In addition, the event image acquisition apparatus 100 may be configured to generate the event information based on the running information of the event-generating vehicle or, further, the running information of the nearby vehicles 721, 722, 723, 724, 725, 726, 727, The vehicle can be determined.

7, the vehicle 721, the vehicle 722, the vehicle 725, and the vehicle 726 have been determined as the image-presenting vehicles. The event image capturing apparatus 100 can detect that the scene where the event occurred by the vehicle 721 and the vehicle 722 in the case of the vehicle 724 is blocked based on the positional information and / And can be excluded from the vehicle for which the image is provided. For the same reason, the event image acquisition apparatus 100 can exclude the vehicles 727 and 728 from the image providing object vehicle. In the case of the vehicle 723, the event image acquiring device 100 acquires the vehicle information of the vehicle 723 based on the position information and / or the running information of the vehicle and the vehicle 723, And can be excluded from the video-provision target vehicle.

After receiving the image in step S50, the event image acquiring device 100 generates an interval for the image to be provided from each of the image providing target vehicles, based on the position information of the vehicle where the event occurred and the position information of the image providing target vehicle Information can be determined.

Considering the positions of the video-provision target vehicles 721, 722, 725, and 726 in the time interval 700, the vehicles 721 and 722 are located behind the vehicle in which the event occurred, , It takes a relatively long time to photograph the event.

On the other hand, in the case of the vehicles 725 and 726, since the vehicle is located in front of the vehicle where the event occurred, the vehicle 725 or 726 moves away from the vehicle where the event occurred and the time to take an image of the event is relatively short.

Accordingly, in the case of the vehicles 721 and 722, the event image acquisition apparatus 100 determines the interval of the image for the event to be provided to be long, and in the case of the vehicles 725 and 726, It can be decided shortly. Thus, it is possible to prevent unnecessary video reception and to reduce the time required for extracting an event from the received video.

The event image acquisition apparatus 100 can receive an image corresponding to the determined section information from each of the image providing target vehicles.

The event image acquisition apparatus 100 may additionally obtain the travel information from the image providing target vehicles 721, 722, 725, and 726. [ In this case, when determining the section information on the image to be provided from each of the image providing target vehicles 721, 722, 725, and 726, the event image obtaining apparatus 100 may determine, based on the traveling information obtained from each of the image providing target vehicles You can decide.

Specifically, in the case of the image-presenting vehicles 721 and 722 running in the direction of the vehicle in which the event occurs, the event-image acquiring apparatus 100 determines the section information as the section information of the first time, In the case of the image-presenting vehicles 725 and 726 running in the direction of the vehicle, the section information can be determined as the section information of the second time shorter than the first time. Furthermore, the event image acquisition apparatus 100 determines a vehicle that is advantageous for image acquisition of the region 705 based on the travel information of the image providing target vehicle 721 and the image providing target vehicle 722, It is possible to shorten the video segment information of the vehicle relatively advantageous to the image acquisition among the video segmentation target vehicle 721 and the video providing target vehicle 722 to be long and to shorten the video segment information of the vehicle which is relatively disadvantageous to the image acquisition. To this end, the event image capturing apparatus 100 can receive the event information in real time from the vehicle where the event occurred, and can identify the location where the event occurred on the vehicle, that is, the accident area of the vehicle. The event image acquisition apparatus 100 can determine a vehicle that is relatively free or unfavorable to acquisition of the image for the event in real time based on the information on the identified incident area.

8 is an illustration of driving information of a vehicle collected in an event image acquisition device of a vehicle, which is referred to in some embodiments of the present invention. According to the embodiment of the present invention, the event image acquisition apparatus 100 can collectively manage various information collected from the vehicle as travel information of each vehicle.

Referring to FIG. 8, the event image acquisition apparatus 100 may receive the identifier information of the vehicle and information on whether an event has occurred. It may also include information on the event occurrence time, the distance of the vehicle from the event site, the direction of travel, and whether each vehicle is determined as a vehicle to be provided with images.

Figure 9 is an illustration of information about processing information by class of events, referred to in some embodiments of the present invention. Referring to FIG. 9, when an event occurs in the vehicle, the event image acquisition apparatus 100 may receive event information from the vehicle where the event occurred. In addition, the event image acquisition apparatus 100 can identify event class information on the received event information. To this end, the event image acquisition apparatus 100 may store contact information to automatically transmit a message when an event occurs in each vehicle. In addition, the event image acquisition apparatus 100 may previously store event class information and event process information matched with event information of each vehicle.

Referring to Fig. 9, a case where an event in which the vehicle 001 and the vehicle 002 collide is illustrated. As an example of an event occurrence position on the event information, a left front side, which is a broken portion of the vehicle 001, and a rear right side, which is a broken portion of the vehicle 002, are illustrated. In addition, the degree of breakage A, B is exemplified as an example of the event class. The degree of damage A is assumed to be severe compared to the degree B of failure.

The event image acquisition apparatus 100 can identify an event class based on event information and / or an image of a received event. In addition, the event image acquisition apparatus 100 can identify event processing information matched with the identified event class information, and execute the identified event processing information. 9, in the case of the vehicle 001, the event class information is A, the process information is matched with the "emergency connection ", and in the case of the vehicle 002, the event class information is B, Insurance company automatic connection "is matched.

The event image acquisition apparatus 100 can execute matching processing information for each vehicle in which an event has occurred. Accordingly, the event image acquisition apparatus 100 recognizes that the event level information is A for the vehicle 001, recognizes the emergency situation, and can transmit the emergency message to the relief system 119, A message can be transmitted to the insurance service system by identifying the grade information as B. The event image acquisition apparatus 100 can determine an error for the event of the vehicle 0001 or the vehicle 0002 based on the received event information and / or the image of the received event.

On the other hand, a case where an event occurs between a plurality of vehicles will be described with reference to Fig.

10 is an illustration of information for determining a causal relationship between a plurality of events, referred to in some embodiments of the present invention.

In Fig. 10, multiple collision accidents between the vehicle 1001, the vehicle 1002, the vehicle 1003, and the vehicle 1004 are illustrated as events. The event a1 is an event in which the vehicle 1002 collides with the rear of the vehicle 1001 and the event a2 is an event in which the vehicle 1004 collides with the rear side of the vehicle 1003. The time t1, t2, t3, The event a3 is an event in which the vehicle 1003 collides with the rear of the vehicle 1002 and the event a4 is an event in which the vehicle 1002 collides with the rear of the vehicle 1001 again.

 In step S30, the event image acquisition apparatus 100 can identify each of the vehicles 1001, 1002, 1003, and 1004 among the nearby vehicles located within a predetermined distance range from the vehicle 1001, 1002, 1003, It is possible to identify the events a1 and a4 occurring in the vehicle 1001 and the events a1 and a4 of the vehicle 1002 and the events a2 and a3 of the vehicle 1003 and the event a2 of the vehicle 1004. [

The event acquisition apparatus 100 can determine the generation order of the events a1, a2, a3, and a4 based on the travel information obtained in step S20. In step S50, the event acquisition apparatus 100 may determine the interval information of the image to be provided from each vehicle based on the order of occurrence of the determined event, and may receive the image corresponding to the determined interval information.

Referring to FIG. 10, for example, the event acquiring apparatus 100 may determine an event generation order in the order of events a1, a2, a3, and a4. That is, after the vehicle 1002 collides with the vehicle 1001, the vehicle 1004 collides with the vehicle 1003, and after the vehicle 1003 thus collides with the vehicle 1002, Is collided with the vehicle 1001. The event image acquisition apparatus 100 may determine the vehicle 1002 as a vehicle to be provided with the image to provide the images of the events a1 and a4 of the vehicle 1001 after determining the event generation order. The event image acquiring apparatus 100 can determine the vehicle 1001 and the vehicle 1003 as the image providing target vehicles to provide the images of the events a1, a3 and a4 of the vehicle 1002. [ In addition, the event image acquisition apparatus 100 can determine the vehicle 1002 and the vehicle 1004 as images to be provided with the images of the events a2 and a3 of the vehicle 1003.

Next, the event image acquisition apparatus 100 can determine the interval of the event image acquired by the image providing target vehicle according to the order of generation of each event. Of the images acquired by the respective vehicles, the images of the events may correspond to the event occurrence order. Accordingly, the event image acquisition apparatus 100 can determine the image section including the time when each event occurs as a predetermined time range as the section information of the image to be provided from each vehicle. Accordingly, the event image acquisition apparatus 100 can collect only the event image corresponding to the information of each event, and the vehicle related to the event is determined as the image providing target vehicle. Therefore, Can be improved.

Embodiments of the invention described above with reference to Figures 1 to 10 may be embodied in computer readable code on a computer readable medium. The computer readable recording medium may be, for example, a removable recording medium (CD, DVD, Blu-ray disk, USB storage device, removable hard disk) . The computer program recorded on the computer-readable recording medium may be transmitted to another computing device via a network such as the Internet and installed in the other computing device, thereby being used in the other computing device.

Also, while operations are shown in a particular order in the figures, it should be understood that operations need not necessarily be performed in the particular order shown or in sequential order, or that all of the illustrated operations must be performed to achieve the desired result. In certain situations, multitasking and parallel processing may be advantageous. Moreover, the separation of the various configurations in the above-described embodiments should not be understood as such a separation being essential, and the described program components and systems may generally be integrated together into a single software product or packaged into multiple software products .

While the present invention has been described in connection with what is presently considered to be practical exemplary embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, You will understand. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive.

Claims (10)

Detecting whether an event has occurred to the vehicle;
Obtaining driving information of the vehicle in which the event has occurred;
Identifying a nearby vehicle located within a predetermined distance range from the vehicle where the event occurred, based on the location information of the vehicle where the event occurred;
Determining a video-presenting vehicle for the event among the neighboring vehicles based on the obtained running information; And
And receiving an image for the event from at least one of the determined image providing target vehicles.
A method of acquiring an event image of a vehicle. The method according to claim 1,
The traveling information includes at least one of traveling direction information of the vehicle in which the event received before the event occurred, traveling speed information of the vehicle in which the event occurred, time information at which the event occurred, And at least one of the terrain information,
A method of acquiring an event image of a vehicle. The method according to claim 1,
Further comprising collecting identifier information and location information of the vehicle from each of the plurality of vehicles including the vehicle,
Wherein the step of detecting whether the event is generated comprises:
Receiving an event information from the vehicle or detecting that an event has occurred in the vehicle when at least one of the identifier information and the location information is not received from the vehicle for a predetermined time;
A method of acquiring an event image of a vehicle. The method according to claim 1,
Wherein the step of receiving an image for the event from at least one of the determined image providing vehicles comprises:
Determining interval information on an image to be provided from at least one of the vehicles to be provided, based on the position information of the vehicle where the event occurred and the position information of the vehicle to be provided with the image; And
And receiving an image corresponding to the determined section information from at least one of the vehicles to be provided with images,
A method of acquiring an event image of a vehicle. 5. The method of claim 4,
Further comprising the step of acquiring travel information from at least one of the vehicles to be provided with images,
The step of determining the segment information for the image to be provided from at least one of the vehicles,
And determining the section information on the basis of the running information of each of the obtained image-presenting vehicles.
A method of acquiring an event image of a vehicle. 6. The method according to any one of claims 4 and 5,
Wherein the step of determining the section information comprises:
In the case of a vehicle to which the image is to be provided while the vehicle is traveling in the direction of the vehicle in which the event has occurred, the section information is determined as the interval information of the first time. In the case of the vehicle to which the image is to be provided, Determining information as interval information of a second time period,
Wherein the first time is longer than the second time,
A method of acquiring an event image of a vehicle. The method of claim 3,
Identifying class information of the event based on at least one of event class information on the received event information and an image of the received event;
Identifying event processing information matched to the identified event class information; And
And executing the identified event processing information.
A method of acquiring an event image of a vehicle. The method according to claim 1,
Further comprising acquiring travel information from at least one of the nearby vehicles,
The step of determining a video-providing target vehicle for the event, among the peripheral vehicles,
And determining the image providing target vehicle based on the obtained running information of the neighboring vehicle,
Wherein the running information of the peripheral vehicle includes at least one of running direction information of the peripheral vehicle and running speed information,
A method of acquiring an event image of a vehicle. The method according to claim 1,
Wherein the running information includes event information of a vehicle in which the event occurred,
A method for acquiring an event image of a vehicle,
Generating event information from an image of the received event;
Comparing the event information on the running information with the generated event information; And
And changing the predetermined distance range or re-determining the determined image providing target vehicle when the generated event information and the event information on the driving information do not match within a predetermined range as a result of the comparison.
A method of acquiring an event image of a vehicle. The method according to claim 1,
Wherein the vehicle in which the event has occurred includes a first vehicle in which a first event has occurred and a second vehicle in which a second event has occurred,
The step of identifying a nearby vehicle located within a predetermined distance range from the vehicle where the event occurred,
Identifying the second vehicle among nearby vehicles located within a predetermined distance range from the first vehicle; And
And determining a generation order of the first event and the second event based on the obtained running information,
Receiving the image for the event from the determined image providing target vehicle,
Determining interval information of an image to be provided from the image providing subject vehicle based on the determined order of occurrence for the first event and the second event; And
And receiving an image corresponding to the determined section information from each of the image providing target vehicles,
A method of acquiring an event image of a vehicle.

Images