CN110809088A - Traffic accident photographing method and system based on mobile phone app - Google Patents
Traffic accident photographing method and system based on mobile phone app Download PDFInfo
- Publication number
- CN110809088A CN110809088A CN201911025333.9A CN201911025333A CN110809088A CN 110809088 A CN110809088 A CN 110809088A CN 201911025333 A CN201911025333 A CN 201911025333A CN 110809088 A CN110809088 A CN 110809088A
- Authority
- CN
- China
- Prior art keywords
- accident
- photographing
- app
- types
- evidence obtaining
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
- H04M1/72406—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by software upgrading or downloading
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/40—Analysis of texture
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
- G06V20/54—Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
- H04M1/7243—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality with interactive means for internal management of messages
- H04M1/72439—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality with interactive means for internal management of messages for image or video messaging
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/64—Computer-aided capture of images, e.g. transfer from script file into camera, check of taken image quality, advice or proposal for image composition or decision on when to take image
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Human Computer Interaction (AREA)
- Computer Networks & Wireless Communication (AREA)
- Business, Economics & Management (AREA)
- General Business, Economics & Management (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention provides a traffic accident photographing method and system based on a mobile phone app, wherein the method comprises the following steps: opening the app to enter an accident photographing mode, and acquiring an accident scene picture; extracting the features of the accident scene picture; comparing the characteristics with the characteristic types stored in the database, identifying the accident types, entering a default evidence-taking photographing program if the accident types cannot be identified, and turning to the next step if the accident types are identified; selecting a corresponding mode according to the accident type to guide the user to carry out evidence obtaining and photographing; and judging whether the pictures subjected to evidence obtaining photographing meet the standard or not, if not, re-photographing, and if so, continuing to photograph until all evidence obtaining is finished. The user can rapidly obtain evidence of the accident through the mobile phone app according to the prompting steps without special learning, and move the vehicle as soon as possible so as to avoid traffic jam.
Description
Technical Field
The invention belongs to the technical field of traffic accident intelligent processing, and particularly relates to a traffic accident photographing method and system based on a mobile phone app.
Background
At present, the quantity of vehicles in China is very high, particularly in a first-line large city, traffic is still very congested under the condition of restriction, an accident occurs at present, many people do not know how to take pictures for the accident vehicle to obtain evidence, and the people can only wait for a traffic police to deal with the accident vehicle, so that road congestion for a period of time is caused, and the road congestion with a very large load is brought to the road congestion. And accident evidence photographed by many people is inaccurate, so that after the vehicle is moved, a traffic police can not confirm the responsibilities of the two parties, and finally, the opinions are diverged and contradictory.
In summary, there is a need for a method that can solve the above technical problems, and a user can quickly obtain evidence of an accident through a mobile app according to a prompt step without special learning, and move the vehicle as soon as possible so as to avoid traffic congestion.
Disclosure of Invention
In view of the defects of the prior art, the invention aims to provide a traffic accident photographing method and system based on a mobile phone app, and aims to solve the problem that traffic is not affected by vehicle road blocking due to the fact that evidence cannot be obtained after a traffic accident occurs in the prior art.
In order to achieve the purpose, the invention adopts the following technical scheme:
a traffic accident photographing method based on a mobile phone app is characterized by comprising the following steps:
opening the app to enter an accident photographing mode, and acquiring an accident scene picture;
extracting the features of the accident scene picture;
comparing the characteristics with the characteristic types stored in the database, identifying the accident types, entering a default evidence-taking photographing program if the accident types cannot be identified, and turning to the next step if the accident types are identified;
selecting a corresponding mode according to the accident type to guide the user to carry out evidence obtaining and photographing;
and judging whether the pictures subjected to evidence obtaining photographing meet the standard or not, if not, re-photographing, and if so, continuing to photograph until all evidence obtaining is finished.
Preferably, the photos taken by forensics can be shared by the app in real time to a traffic management department while the pictures taken by forensics are taken, and the traffic management department assists in judging whether the photos taken by forensics meet the standard or not.
Preferably, the method further comprises: and caching the photos which are shared in real time and are obtained by evidence obtaining and shooting to a memory of a traffic management department.
Preferably, the method further comprises: and after the accident processing is finished, sending a signal of finishing the accident processing to a traffic management department through the app, and after receiving the signal, the traffic management department carries out data cleaning on the memory.
Preferably, the accident types include, but are not limited to, lane change accidents, intersection accidents, and rear-end accidents.
Preferably, the extracting the features of the scene of accident picture includes: and extracting color features, texture features, shape features and spatial relationship features.
Preferably, the accident geographical location, the accident time and the weather are automatically acquired before the acquiring of the scene of the accident picture.
In addition, the invention also provides a traffic accident photographing system based on the mobile phone app, which is characterized by comprising:
an image acquisition module: the method is used for opening the app to enter an accident shooting mode and then acquiring an accident scene picture;
the characteristic extraction module is used for extracting the characteristics of the accident scene picture;
the characteristic comparison and identification module is used for carrying out characteristic comparison with the characteristic types stored in the database and identifying the accident types, if the accident types cannot be identified, entering a default evidence obtaining photographing program, and if the accident types cannot be identified, switching to the next step;
the evidence obtaining and photographing guiding module is used for guiding the user to carry out evidence obtaining and photographing by selecting a corresponding mode according to the accident type;
and the judging module is used for judging whether the pictures subjected to evidence obtaining photographing meet the standard or not, re-photographing if the pictures do not meet the standard, and continuing photographing until all evidence obtaining is prompted.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a traffic accident photographing method and system based on a mobile phone app, wherein the method comprises the following steps: opening the app to enter an accident photographing mode, and acquiring an accident scene picture; extracting the features of the accident scene picture; comparing the characteristics with the characteristic types stored in the database, identifying the accident types, entering a default evidence-taking photographing program if the accident types cannot be identified, and turning to the next step if the accident types are identified; selecting a corresponding mode according to the accident type to guide the user to carry out evidence obtaining and photographing; and judging whether the pictures subjected to evidence obtaining photographing meet the standard or not, if not, re-photographing, and if so, continuing to photograph until all evidence obtaining is finished. The user can rapidly obtain evidence of the accident through the mobile phone app according to the prompting steps without special learning, and move the vehicle as soon as possible so as to avoid traffic jam.
Drawings
Fig. 1 is a flowchart illustrating a traffic accident photographing method based on a mobile phone app according to a preferred embodiment of the present invention;
fig. 2 is a block diagram of a traffic accident photographing system based on a mobile phone app according to a preferred embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and effects of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1-2, the traffic accident photographing method based on the mobile phone app provided by the invention includes the following steps:
opening the app to enter an accident photographing mode, and acquiring an accident scene picture;
extracting the features of the accident scene picture;
comparing the characteristics with the characteristic types stored in the database, identifying the accident types, entering a default evidence-taking photographing program if the accident types cannot be identified, and turning to the next step if the accident types are identified;
selecting a corresponding mode according to the accident type to guide the user to carry out evidence obtaining and photographing;
and judging whether the pictures subjected to evidence obtaining photographing meet the standard or not, if not, re-photographing, and if so, continuing to photograph until all evidence obtaining is finished.
Specifically, after a traffic accident occurs, an app is opened and clicked to enter an accident photographing mode, an accident scene is photographed, then the app performs feature extraction on an acquired scene photo, a database in the app stores simulation feature data of the accident scene of related accident types in advance, the extracted features are compared with the simulation feature data and matched to identify a corresponding accident type, if the accident type is identified, a user is guided to perform evidence obtaining photographing according to a guiding mode corresponding to the accident type, if the accident type is not identified, evidence obtaining photographing is performed according to a conventional default mode, during the evidence obtaining photographing process, each photo app is automatically judged whether to meet the standard or not, if not, a re-entering photographing prompt is directly abandoned, if yes, a next link is performed to continue photographing the required photo, wherein during the photographing process, an interface prompts how to photograph and where to photograph, therefore, the user who cannot process accident evidence obtaining can obtain evidence through app prompting after a traffic accident happens, and then the vehicle is moved to the roadside in time to avoid influencing traffic for a long time.
In some embodiments, the forensic photo may be shared by the app in real time with the forensic photo to a delivery department, which assists in determining whether the forensic photo meets a criterion.
Specifically, in the process of evidence obtaining and shooting, the app display interface pops up a prompt box to prompt a user whether the user needs the assistance of the traffic control department to assist in obtaining evidence, if yes, the user applies for the assistance of the traffic control department, the assistance and the voice can communicate with the traffic control department, and the photo is shared to the manual service department of the traffic control department to help and confirm whether the shot photo meets the standard or not during shooting.
Further, the method further comprises: and caching the photos which are shared in real time and are obtained by evidence obtaining and shooting to a memory of a traffic management department.
Specifically, based on the above embodiment, the shared evidence-obtaining photo is saved in the memory of the server of the traffic management department for backup.
In some embodiments, the method further comprises: and after the accident processing is finished, sending a signal of finishing the accident processing to a traffic management department through the app, and after receiving the signal, the traffic management department carries out data cleaning on the memory.
Specifically, the accident processing is that after all the responsibilities and claim settlement procedures are completed, the user can confirm that the accident processing is completed through the app, and at this time, the traffic management department receives the app-related signal and then cleans the memory data.
In some embodiments, the accident types include, but are not limited to, lane change accidents, intersection accidents, and rear-end accidents.
In some embodiments, the feature extracting the scene of accident picture comprises: and extracting color features, texture features, shape features and spatial relationship features.
The common extraction and matching methods include color histograms, color sets, color moments, color clustering vectors, and color correlation maps, texture features are global features that also describe the scenes corresponding to the image or image regions, but they also describe the nature of the object, but the texture features are not obtained by using texture features alone, which are not based on pixel point features, which require statistical calculation in regions containing pixels, which are not based on the common characteristics of the object surface, which do not completely reflect the intrinsic properties of the object, which are not based on the texture features, which do not obtain high-level image content, which are different from color features, which are not based on pixel point features, which require the image or image regions to be subjected to statistical processing, which do not include a common target shape rule, which does not include a common target shape rule, a common orientation rule, a color moment, a color clustering vector, and a color correlation map, a common correlation, a common orientation rule, a local shape index, a common image region, a region.
In some embodiments, the geographic location of the accident, the time of the accident, and the weather are automatically obtained prior to said obtaining the picture of the scene of the accident.
Specifically, when the app is started, the positioning position information of the mobile phone with gps, the current time and the weather condition obtained through networking are automatically obtained, and the information is generated into a readable information file.
It should be further noted that, for example, when a user is tailed on the road, the user gets off and opens the mobile phone to enter an accident photographing mode, and aligns the mobile phone camera with an accident vehicle to perform accident type recognition, and after the accident type recognition is tailgating, the user is guided to enter an evidence obtaining photographing stage, the user photographs the accident scene according to the guiding requirement, and after each photographing meets the standard, the user enters the next stage, and after the photographing is not standardized, the user can take a picture again, and after the photographing is completed according to the guiding program, the user can move the vehicle to wait for the traffic police to deal with. The guiding step is as follows: standing in front of the overtired vehicle to clearly shoot the whole appearances of the two vehicles, including the marked lines on the road; walking to the tail of the rear vehicle, and shooting the complete appearances of the two vehicles forwards, including the marked lines on the road, clearly; standing on the side surface, and completely shooting the two cars in the same frame; the part of the two vehicles colliding is photographed and specially written.
In addition, the invention also provides a traffic accident photographing system based on the mobile phone app, which comprises:
an image acquisition module: the method is used for opening the app to enter an accident shooting mode and then acquiring an accident scene picture;
the characteristic extraction module is used for extracting the characteristics of the accident scene picture;
the characteristic comparison and identification module is used for carrying out characteristic comparison with the characteristic types stored in the database and identifying the accident types, if the accident types cannot be identified, entering a default evidence obtaining photographing program, and if the accident types cannot be identified, switching to the next step;
the evidence obtaining and photographing guiding module is used for guiding the user to carry out evidence obtaining and photographing by selecting a corresponding mode according to the accident type;
and the judging module is used for judging whether the pictures subjected to evidence obtaining photographing meet the standard or not, re-photographing if the pictures do not meet the standard, and continuing photographing until all evidence obtaining is prompted.
In summary, the working principle of the invention is as follows:
the invention provides a traffic accident photographing method and system based on a mobile phone app, wherein the method comprises the following steps: opening the app to enter an accident photographing mode, and acquiring an accident scene picture; extracting the features of the accident scene picture; comparing the characteristics with the characteristic types stored in the database, identifying the accident types, entering a default evidence-taking photographing program if the accident types cannot be identified, and turning to the next step if the accident types are identified; selecting a corresponding mode according to the accident type to guide the user to carry out evidence obtaining and photographing; and judging whether the pictures subjected to evidence obtaining photographing meet the standard or not, if not, re-photographing, and if so, continuing to photograph until all evidence obtaining is finished. The user can rapidly obtain evidence of the accident through the mobile phone app according to the prompting steps without special learning, and move the vehicle as soon as possible so as to avoid traffic jam.
It should be understood that equivalents and modifications of the technical solution and inventive concept thereof may occur to those skilled in the art, and all such modifications and alterations should fall within the scope of the appended claims.
Claims (8)
1. A traffic accident photographing method based on a mobile phone app is characterized by comprising the following steps:
opening the app to enter an accident photographing mode, and acquiring an accident scene picture;
extracting the features of the accident scene picture;
comparing the characteristics with the characteristic types stored in the database, identifying the accident types, entering a default evidence-taking photographing program if the accident types cannot be identified, and turning to the next step if the accident types are identified;
selecting a corresponding mode according to the accident type to guide the user to carry out evidence obtaining and photographing;
and judging whether the pictures subjected to evidence obtaining photographing meet the standard or not, if not, re-photographing, and if so, continuing to photograph until all evidence obtaining is finished.
2. The mobile app-based traffic accident photographing method according to claim 1, wherein the photos of the forensic photo can be shared by the app in real time to a traffic management department while the forensic photo is taken, and the traffic management department assists in determining whether the photos of the forensic photo meet a standard.
3. The mobile app-based traffic accident photographing method according to claim 2, further comprising: and caching the photos which are shared in real time and are obtained by evidence obtaining and shooting to a memory of a traffic management department.
4. The mobile app-based traffic accident photographing method according to claim 3, further comprising: and after the accident processing is finished, sending a signal of finishing the accident processing to a traffic management department through the app, and after receiving the signal, the traffic management department carries out data cleaning on the memory.
5. The mobile app-based traffic accident photographing method according to claim 1, wherein the accident types include, but are not limited to, lane change accidents, intersection accidents, and rear-end accidents.
6. The mobile app-based traffic accident photographing method according to claim 1, wherein the feature extraction of the accident scene picture includes: and extracting color features, texture features, shape features and spatial relationship features.
7. The mobile app-based traffic accident photographing method according to claim 1, wherein an accident geographical location, an accident time and weather are automatically acquired before the acquisition of the accident scene picture.
8. A traffic accident photographing system based on a mobile phone app is characterized by comprising:
an image acquisition module: the method is used for opening the app to enter an accident shooting mode and then acquiring an accident scene picture;
the characteristic extraction module is used for extracting the characteristics of the accident scene picture;
the characteristic comparison and identification module is used for carrying out characteristic comparison with the characteristic types stored in the database and identifying the accident types, if the accident types cannot be identified, entering a default evidence obtaining photographing program, and if the accident types cannot be identified, switching to the next step;
the evidence obtaining and photographing guiding module is used for guiding the user to carry out evidence obtaining and photographing by selecting a corresponding mode according to the accident type;
and the judging module is used for judging whether the pictures subjected to evidence obtaining photographing meet the standard or not, re-photographing if the pictures do not meet the standard, and continuing photographing until all evidence obtaining is prompted.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911025333.9A CN110809088A (en) | 2019-10-25 | 2019-10-25 | Traffic accident photographing method and system based on mobile phone app |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911025333.9A CN110809088A (en) | 2019-10-25 | 2019-10-25 | Traffic accident photographing method and system based on mobile phone app |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110809088A true CN110809088A (en) | 2020-02-18 |
Family
ID=69489262
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911025333.9A Pending CN110809088A (en) | 2019-10-25 | 2019-10-25 | Traffic accident photographing method and system based on mobile phone app |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110809088A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112434368A (en) * | 2020-10-20 | 2021-03-02 | 联保（北京）科技有限公司 | Image acquisition method, device and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101574667B1 (en) * | 2014-06-09 | 2015-12-07 | 주식회사 시스피아 | CCTV sound source tracking device recording function using an acoustic sensor is provided |
| CN105206059A (en) * | 2015-10-28 | 2015-12-30 | 重庆邮电大学 | Traffic accident scene evidence collection guiding system and method thereof |
| CN105303474A (en) * | 2015-10-10 | 2016-02-03 | 北京中软政通信息技术有限公司 | Field quick handling method and field quick handling system for traffic accidents |
| CN107240025A (en) * | 2017-05-22 | 2017-10-10 | 深圳市中车数联科技有限公司 | Traffic accident treatment method, system and computer-readable recording medium |
| CN110033386A (en) * | 2019-03-07 | 2019-07-19 | 阿里巴巴集团控股有限公司 | Identification method and device, the electronic equipment of car accident |
-
2019
- 2019-10-25 CN CN201911025333.9A patent/CN110809088A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101574667B1 (en) * | 2014-06-09 | 2015-12-07 | 주식회사 시스피아 | CCTV sound source tracking device recording function using an acoustic sensor is provided |
| CN105303474A (en) * | 2015-10-10 | 2016-02-03 | 北京中软政通信息技术有限公司 | Field quick handling method and field quick handling system for traffic accidents |
| CN105206059A (en) * | 2015-10-28 | 2015-12-30 | 重庆邮电大学 | Traffic accident scene evidence collection guiding system and method thereof |
| CN107240025A (en) * | 2017-05-22 | 2017-10-10 | 深圳市中车数联科技有限公司 | Traffic accident treatment method, system and computer-readable recording medium |
| CN110033386A (en) * | 2019-03-07 | 2019-07-19 | 阿里巴巴集团控股有限公司 | Identification method and device, the electronic equipment of car accident |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112434368A (en) * | 2020-10-20 | 2021-03-02 | 联保（北京）科技有限公司 | Image acquisition method, device and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP3806064B1 (en) | Method and apparatus for detecting parking space usage condition, electronic device, and storage medium | |
| CN103824452B (en) | A kind of peccancy parking detector based on panoramic vision of lightweight | |
| CN111837158A (en) | Image processing method and device, shooting device and movable platform | |
| US20170032514A1 (en) | Abandoned object detection apparatus and method and system | |
| CN108151759B (en) | Navigation method, intelligent terminal and navigation server | |
| CN113038018A (en) | Method and device for assisting user in shooting vehicle video | |
| CN111222408A (en) | Method and apparatus for improved location decision based on ambient environment | |
| WO2023124442A1 (en) | Method and device for measuring depth of accumulated water | |
| CN104537857A (en) | Reminding method and system for recognizing traffic lights on basis of automobile video recorder | |
| CN110796580B (en) | Intelligent traffic system management method and related products | |
| CN111814593A (en) | Traffic scene analysis method and device, and storage medium | |
| CN112434368A (en) | Image acquisition method, device and storage medium | |
| CN112906471A (en) | Traffic signal lamp identification method and device | |
| CN114170565A (en) | Image comparison method and device based on unmanned aerial vehicle aerial photography and terminal equipment | |
| CN111723805A (en) | Signal lamp foreground area identification method and related device | |
| CN111444911B (en) | Training method and device of license plate recognition model and license plate recognition method and device | |
| CN113076851A (en) | Method and device for acquiring vehicle violation data and computer equipment | |
| CN110809088A (en) | Traffic accident photographing method and system based on mobile phone app | |
| WO2021026855A1 (en) | Machine vision-based image processing method and device | |
| CN112446241A (en) | Method and device for obtaining characteristic information of target object and electronic equipment | |
| CN110826364A (en) | Stock position identification method and device | |
| WO2022104798A1 (en) | 5g-based unmanned electronic traffic police duty system | |
| WO2021047249A1 (en) | Data prediction method, apparatus and device, and computer-readable storage medium | |
| CN115565155A (en) | Training method of neural network model, generation method of vehicle view and vehicle | |
| CN116416582A (en) | Method, device and storage medium for detecting large-resolution traffic image |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200218 |