[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

CN109086277A - A kind of overlay region building ground drawing method, system, mobile terminal and storage medium - Google Patents

A kind of overlay region building ground drawing method, system, mobile terminal and storage medium Download PDF

Info

Publication number
CN109086277A
CN109086277A CN201710440699.7A CN201710440699A CN109086277A CN 109086277 A CN109086277 A CN 109086277A CN 201710440699 A CN201710440699 A CN 201710440699A CN 109086277 A CN109086277 A CN 109086277A
Authority
CN
China
Prior art keywords
map
vehicle
information
building
landmark
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.)
Granted
Application number
CN201710440699.7A
Other languages
Chinese (zh)
Other versions
CN109086277B (en
Inventor
王凡
唐锐
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zongmu Technology Shanghai Co Ltd
Original Assignee
Zongmu Technology Shanghai Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Zongmu Technology Shanghai Co Ltd filed Critical Zongmu Technology Shanghai Co Ltd
Priority to CN201710440699.7A priority Critical patent/CN109086277B/en
Publication of CN109086277A publication Critical patent/CN109086277A/en
Application granted granted Critical
Publication of CN109086277B publication Critical patent/CN109086277B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Processing Or Creating Images (AREA)
  • Traffic Control Systems (AREA)
  • Navigation (AREA)

Abstract

The present invention provides a kind of overlay region building ground drawing method, system, mobile terminal and storage medium.The present invention obtains the information Perception data of vehicle and extracts landmark information from information Perception data in map structuring mode, is based on SLAM algorithm, generates terrestrial reference map and vehicle driving trace according to the athletic posture of vehicle and the landmark information;The map of building by several times, compares overlay region similarity, is spliced after successful match;Circulation carries out map structuring process, forms locally or globally map.The map of building by several times is repeatedly matched according to landmark information, the building accuracy of map is continuously improved, while supporting compared with vehicular map and the download function of cloud.

Description

A kind of overlay region building ground drawing method, system, mobile terminal and storage medium
Technical field
The present invention relates to computer communication and network safety filed, more particularly to a kind of overlay region construct ground drawing method, System, mobile terminal and storage medium.
Background technique
The increase of car ownership promotes the development of large parking lot, and since marching toward 21st century, ours is big Type parking lot is more and more, and being growing for parking lot scale, brings a series of the problem of parking with picking up the car, has become The social concern that each large- and-medium size cities generally face in world wide.
Firstly, increasing in city vehicle, under traffic congestion more serious situation, the parking difficulty in city is big It is big to increase.Many drivers feel to be difficult to control the technology of parking.Secondly, on the one hand car owner is faced with because finding parking stall when parking And the distance of cruising gradually increased, the walking distance that car owner walks out parking lot is on the other hand also increased, the body of car owner is increased Power, time and energy cost;Meanwhile the parking stall of large parking lot is numerous and instruction is not clear enough, boundless and indistinct parking stall is caused to seeking vehicle Great puzzlement.
In today that vehicle development is more and more flourishing, the intelligence of vehicle is a main trend of vehicle future development, in reality During existing vehicle autonomous parking, vehicle how to be made to obtain the map in parking lot and be to be badly in need of to the vehicle location in parking lot The technical issues of solution.
At present vehicle in outdoor map based on satellite positioning (including difference), satellite positioning mainly include GPS system, Dipper system, GLONASS system and Galileo system.The shortcomings that satellite positioning, is easy to receive high-lager building and trees It influences, is unable to reach perfect precision under many scenes.The use INS signal (autoacceleration of space map being built in vehicle chamber The reading of meter, gyroscope, compass, pressure sensor etc.), or the navigation combined using inertial navigation signal with satellite system System.Using SLAM technology, (Simultaneous Localization and Mapping is positioned and map structure some immediately It builds).
At present using the concrete scheme of SLAM technology building indoor map, such as patent name are as follows: " building map structuring side The patent document of method, system, mobile terminal and storage medium ", the technical solution of use are as follows: " be map structuring in any vehicle When mode, the athletic posture and vehicle-surroundings image and from the vehicle-surroundings image zooming-out landmark information of vehicle are obtained;It is based on SLAM algorithm generates terrestrial reference map and vehicle driving trace according to the athletic posture of vehicle and the landmark information;Detection can Running region and according to the travelable Area generation grating map of the vehicle driving trace and detection;Vehicle is in parking lot When driving, circulation carries out map structuring process to different zones, and formation locally or globally constructs map." in this scheme, do not need With the athletic posture and vehicle-surroundings image of collecting vehicle acquisition vehicle, but the single user Che Cai by loading the onboard system Collection.
Summary of the invention
In order to solve above-mentioned and other potential technical problems, the present invention provides a kind of overlay regions to construct map side Method, system, mobile terminal and storage medium, first, in map structuring mode, map is generated according to building map overlay region, The information Perception data of crossover region establish the Relative Transformation between multiple nodes and node based on keyframe (key frame) Relationship, and the maintenance of key node is constantly carried out, guarantee the capacity of data, while guaranteeing precision, reduces calculation amount. Second, system automatically generated grating map and terrestrial reference map do not depend on design drawing as basic map, and automation map generates Process reduces manual intervention.Third, the information Perception data of the crossover region that system acquisition arrives are according to the number of dissimilar sensor It is uniformly processed according to type, timestamp, coordinate system, and by the same coordinate point or coordinate of map in this data and Support Library The model of range is compared, if the data in information Perception data and Support Library are inconsistent, system can report an error, then basis Whether deep learning Network Recognition, which needs, is changed.4th, proposed SLAM algorithm include but is not limited to PTAM, MonoSLAM, ORB-SLAM,RGBD-SLAM,RTAB-SLAM,LSD-SLAM.5th, there are two types of operating modes for system: building Mode and station-keeping mode, both of which switching judge according to the received instruction of system and information Perception aggregation of data.6th, it can In Vehicular screen and cell phone display 2D and/or 3D map and driving trace.
The method that map is constructed and updated according to overlay region, comprising the following steps:
S01: when any vehicle is map structuring mode, the information Perception data of vehicle are obtained and from information Perception data Middle extraction landmark information;
S02: being based on SLAM algorithm, generates terrestrial reference map and vehicle according to the athletic posture of vehicle and the landmark information Driving trace;
S03: for the map constructed by several times in step S02, compare overlay region similarity, spliced after successful match;
S04: circulation carries out map structuring process, forms locally or globally map.
It in this present embodiment,, can be by the map of gradation building when comparing the similarity of overlay region 100 in step S03 The information Perception data on boundary extract, and the landmark information 110 for being included in the information Perception data on boundary according to the map is in Position, size in image, angle determine the absolute position of the landmark information, and the map that two or more are constructed by several times According to the matching of the absolute position of one or more landmark informations 110, splicing, until obtaining global map.
Further, the map two or more constructed by several times is matched according to the absolute position of landmark information 110, is spelled When connecing, if establishing 2D map, matching splicing, and preferably three ground are preferably carried out according to the absolute position of three landmark informations 110 Mark information 110 is not on same straight line.When the absolute position splicing of such three landmark informations 110, splicing can be limited The freedom degree of map prevents map rotation shake.The coordinate information in the crossover region 100 in upper two embodiments can be One coordinate points 101 or one piece of region with coordinate range.
Further, if establish 3D map, matching spelling is preferably carried out according to the absolute position of four landmark informations 110 It connects, and preferably three landmark informations 110 are in a dimension, another landmark information 110 is located at its excess-three landmark information Different dimensions.When the absolute position splicing of such four landmark informations 110, the freedom degree of splicing map can be limited.
Further, can also be by building map compared with the vehicular map, it, will when the building map has update The content of update is sent to the cloud server of the vehicular map, shows the building ground so that updating in the vehicular map Figure.
Further, the information Perception data for the crossover region 100 that the S011: system acquisition in upper two embodiments is arrived according to The data type of dissimilar sensor, timestamp 12, coordinate system 13 are uniformly processed;S012: and by this data and support The same coordinate point 101 of map or 102 model of region of coordinate range are compared in library;S013: if information Perception data When inconsistent with data in Support Library, system can report an error;S014: and then whether need to become according to deep learning Network Recognition More.
Further, the embodiment of the present invention also provides a kind of building map structuring system, including acquisition processing module, uses In when any vehicle is map structuring mode, obtains the information Perception data of vehicle and extract terrestrial reference from information Perception data Information;Terrestrial reference mapping module generates terrestrial reference map and vehicle according to the information Perception data of vehicle for being based on SLAM algorithm Driving trace;Comparison match module passes through the landmark information coordinate matching gradation structure of overlay region for comparing overlay region similarity The map built, formation locally or globally construct map.
Further, further including grating map module, can travel region and root for can travel regional movement attitude detection According to the travelable Area generation grating map of the vehicle driving trace and detection;Wherein, vehicle is in parking lot not same district When driving, circulation constructs the grating map and the terrestrial reference map in domain, and formation locally or globally constructs map.
Further, further include map data update unit, for by the building map compared with the vehicular map, When the building map has update, the content of update is sent to the cloud server of the vehicular map, so that the vehicle It carries to update in map and shows the building map.The result of update can also be uploaded to cloud by map data update unit, with Just other users are downloaded.Therefore the building map structuring of the present embodiment may be implemented to construct map structuring immediately.
Further, vehicle in parking lot different zones when driving, circulation is with constructing the grating map and the terrestrial reference Figure, formation locally or globally construct map.
The embodiment of the present invention also provides a kind of mobile terminal, and the mobile terminal includes building map structure as described above Build system.Above-mentioned that the building map structuring system is described in detail, details are not described herein.Wherein, the shifting Dynamic terminal is, for example, mobile phone, PAD, or computer or server etc..
In another embodiment, mobile terminal includes processor and memory, and the memory is stored with program instruction, institute It states processor operation program instruction and realizes step in method as described above.The mobile terminal is, for example, smart phone, vehicle Mounted terminal etc..
The embodiment provides a kind of computer readable storage mediums, are stored thereon with computer program, the journey The step in method as described above is realized when sequence is executed by processor.
As described above, of the invention has the advantages that
In map structuring mode, the information Perception data of crossover region between system acquisition vehicle, and map is generated with this, it hands over Based on keyframe (key frame), the Relative Transformation established between multiple nodes and node closes the information Perception data in folded area System, and the maintenance of key node is constantly carried out, guarantee the capacity of data, while guaranteeing precision, reduces calculation amount.System System automatically generates grating map and terrestrial reference map, does not depend on design drawing as basic map, automates map generating process, subtract Few manual intervention.Data type of the information Perception data for the crossover region that system acquisition arrives according to dissimilar sensor, time Stamp, coordinate system are uniformly processed, and by the same coordinate point of map or the model of coordinate range in this data and Support Library It is compared, if the data in information Perception data and Support Library are inconsistent, system can report an error, then according to deep learning net Network recognizes the need for change.This system can be in Vehicular screen and cell phone display 2D plane map and driving trace.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for For those of ordinary skill in the art, without creative efforts, it can also be obtained according to these attached drawings other Attached drawing.
Fig. 1 is shown as flow diagram of the invention.
Fig. 2 is shown as the schematic diagram of crossover region in one embodiment of the invention.
Fig. 3 is shown as the schematic diagram of crossover region in another embodiment of the present invention.
Fig. 4 is shown as the schematic diagram of crossover region in another embodiment of the present invention.
Fig. 5 is shown as the schematic diagram of crossover region in another embodiment of the present invention.
Fig. 6 is shown as the flow chart that present invention building map is compared with known vehicular map.
Fig. 7 is shown as the frame diagram of information Perception data of the present invention.
Fig. 8 is shown as the flow chart detected when building map structuring to landmark information winding.
Fig. 9 is shown as the flow chart detected when constructing map structuring in another embodiment to landmark information winding.
Specific embodiment
Illustrate embodiments of the present invention below by way of specific specific example, those skilled in the art can be by this specification Other advantages and efficacy of the present invention can be easily understood for disclosed content.The present invention can also pass through in addition different specific realities The mode of applying is embodied or practiced, the various details in this specification can also based on different viewpoints and application, without departing from Various modifications or alterations are carried out under spirit of the invention.It should be noted that in the absence of conflict, following embodiment and implementation Feature in example can be combined with each other.
It should be clear that this specification structure depicted in this specification institute accompanying drawings, ratio, size etc., only to cooperate specification to be taken off The content shown is not intended to limit the invention enforceable qualifications so that those skilled in the art understands and reads, therefore Do not have technical essential meaning, the modification of any structure, the change of proportionate relationship or the adjustment of size are not influencing the present invention Under the effect of can be generated and the purpose that can reach, it should all still fall in disclosed technology contents and obtain the model that can cover In enclosing.Meanwhile cited such as "upper" in this specification, "lower", "left", "right", " centre " and " one " term, be also only Convenient for being illustrated for narration, rather than to limit the scope of the invention, relativeness is altered or modified, in no essence It changes under technology contents, when being also considered as the enforceable scope of the present invention.
Building map constructing method, system, mobile terminal and storage medium application provided by the present embodiment in interior with And outdoor single-layer or multi-layer parking lot.
The method of building map structuring provided by the present embodiment uses SLAM algorithm, and map structuring part can be by Different vehicles or equipment are completed.
Referring to Fig. 1, according to overlay region building and the method for update map, comprising the following steps:
S01: when any vehicle is map structuring mode, the information Perception data of vehicle are obtained and from information Perception data Middle extraction landmark information;
S02: being based on SLAM algorithm, generates terrestrial reference map and vehicle according to the athletic posture of vehicle and the landmark information Driving trace;
S03: for the map constructed by several times in step S02, compare overlay region similarity, spliced after successful match;
S04: circulation carries out map structuring process, forms locally or globally map.
Referring to fig. 2~Fig. 5 in step S03, when comparing the similarity of overlay region 100, can be incited somebody to action in this present embodiment The information Perception data of the map boundary line of building extract by several times, the ground for being included in the information Perception data on boundary according to the map Position that mark information 110 is in image, size, angle determine the absolute position of the landmark information, and by two or more The map of building is according to the matching of the absolute position of one or more landmark informations 110, splicing by several times, until obtaining global map. Further, when the map two or more constructed by several times matches according to the absolute position of landmark information 110, splices, if 2D map is established, matching splicing, and preferably three landmark informations are preferably carried out according to the absolute position of three landmark informations 110 110 are not on same straight line.When the absolute position splicing of such three landmark informations 110, splicing map can be limited Freedom degree prevents map rotation shake.The coordinate information in the crossover region 100 in upper two embodiments can be a seat Punctuate 101 or one piece of region with coordinate range.If establish 3D map, preferably according to the exhausted of four landmark informations 110 Matching splicing carried out to position, and preferably three landmark informations 110 are in a dimension, another landmark information 110 and remaining Three landmark informations are located at different dimensions.When the absolute position splicing of such four landmark informations 110, splicing can be limited The freedom degree of map.
It, in this present embodiment, can also be by building map compared with the vehicular map, on the building ground referring to Fig. 6 When figure has update, the content of update is sent to the cloud server of the vehicular map, so that updating in the vehicular map Show the building map.When having known map to be positioned, building map structure can also be carried out using SLAM simultaneously It builds.This map is compared with known vehicular map, is had occurred when it can be found that whether current environment is compared with map structuring with this Change.The result of update can be uploaded to cloud, so as to other users downloading.In this present embodiment, in upper two embodiments Data type of the information Perception data of crossover region 100 that arrive of S011: system acquisition according to dissimilar sensor, timestamp 12, coordinate system 13 is uniformly processed;S012: and by the same coordinate point 101 or coordinate of map in this data and Support Library 102 model of region of range is compared;S013: if the data in information Perception data and Support Library are inconsistent, system meeting It reports an error;S014: and then whether need to change according to deep learning Network Recognition.
Referring to Fig. 7, in this present embodiment, the information Perception data in upper two embodiments are including but not limited to not The data packet 11 of same type sensor, timestamp 12, coordinate system 13.In this present embodiment, the inhomogeneity in upper two embodiments The data packet 11 of type sensor is vision guided navigation sensor 11a, light reflects navigation sensor 11b, ultrasonic wave navigation sensor 11c Any one or more of signal collected data packet.System uses the data packet of vision guided navigation sensor 11a as information sense Primary data, vision guided navigation sensor 11a includes the athletic posture sensor of imaging sensor and vehicle, by image information and movement Posture information is compressed.
In this present embodiment, the system in upper two embodiments uses up the data packet of reflection navigation sensor 11b as letter Perception data is ceased, it can be laser sensor or infrared sensor that light, which reflects navigation sensor 11b, by laser sensor or infrared What sensor was perceived is compressed with the range information of external object.
In this present embodiment, the system in upper two embodiments uses the data packet of ultrasonic wave navigation sensor 11c as letter Perception data is ceased, ultrasonic wave navigation sensor 11c is ultrasonic transmitter and ultrasonic receiver, by ultrasonic transmitter and is surpassed Acoustic receiver range information generated is compressed.
In this present embodiment, the athletic posture of the vehicle includes location information and course angle.The movement appearance of vehicle can be by Odometer speculates that the odometer includes four-wheel rotational pulse and steering wheel angle, can extrapolate vehicle and transport posture relatively Variation.Specifically, (such as accelerated according to the speed parameter of steering wheel angle, wheel pulse, vehicle inertia measuring unit (IMU) Degree, angular speed) and GPS obtain the athletic posture of the vehicle.The location information of vehicle, utilization orientation disk are obtained using GPS Corner, wheel pulse, vehicle inertia measuring unit (IMU) speed parameter (such as acceleration, angular speed) obtain vehicle boat To angle.Course angle can use angular speed meter calculate, can also by vehicular four wheels rotational pulse and steering wheel angle, can also be with It is calculated, above-mentioned each data source can also be merged by Visual SLAM.It is available in this way to position and course angle Prediction.Since the acquisition of course angle is by as it is known to those skilled in the art that details are not described herein.During SLAM, then In conjunction with camera perception as a result, obtaining the update to position and course angle again.Prediction and update are the processes of continuous iteration.Institute Stating landmark information includes but is not limited to the angular coordinate on parking stall, the stud edge edge in parking lot, column projection and anticollision strip Edge.These the information that is marked in map refer specifically to the coordinate (x, y) on ground, also may include terrestrial reference direction (x, y, theta).Wherein, the skill that specified landmark information is comparative maturity in field of image processing is extracted from the image of vehicle's surroundings Art, details are not described herein.
In this present embodiment, the SLAM algorithm proposed include but is not limited to PTAM, MonoSLAM, ORB-SLAM, RGBD-SLAM, RTAB-SLAM, LSD-SLAM, EXF family, particle filter (FastSLAM), figure optimization.It is mostly based on vision The SLAM choice of technology SIFT, FAST etc landmark information.But these landmark informations are big by environmental change.Time invariance It is bad.So can not be stored in map.The present embodiment using SLAM algorithm when constructing map, the landmark information packet of selection Include the fixed point on parking stall, stud edge along and its in the projection on ground etc..The detection of the angular coordinate on parking stall can refer to existing Any detection means in technology is the technology of this field comparative maturity.In this present embodiment, column Edge check uses Landmark information in Visual SLAM has this feature of the anticollision strip of yellow black interval using parking lot major part column, extracts tool Standby identical 2D coordinate, but the equally spaced feature of height is detected.
Referring to Fig. 8~Fig. 9, in this present embodiment, the building map constructing method further includes examining to landmark information winding It surveys, specifically includes: S021: reducing the detection range of landmark information in the way of scan matching by the grating map; S022: landmark information is further detected using the terrestrial reference map.The building map constructing method further includes believing terrestrial reference Winding detecting step is ceased, because landmark information repeats in parking lot, it is wrong that the winding detection based on landmark information is easy to produce matching Accidentally.
In another embodiment, winding detection can also specifically include: S031: pass through scanning using the grating map The mode matched reduces the detection range of landmark information.It is detected by way of scan matching according to network map in large-scale dimension Winding.S032: landmark information is further detected using the terrestrial reference map.Landmark information search range is reduced, then passes through ground It marks the detection of information winding and carries out map global optimization.S033: by the building map compared with the vehicular map, in the structure When building map has update, the content of update is sent to the cloud server of the vehicular map, so that in the vehicular map It updates and shows the building map.Because landmark information repeats in parking lot, the winding detection based on landmark information is easy to produce Matching error.The winding detection module specifically includes: first order detection unit, for passing through scanning using the grating map Matched mode reduces the detection range of landmark information, is examined by way of scan matching according to network map in large-scale dimension Survey time ring.Second level detection unit, for further being detected using the terrestrial reference map to landmark information.Landmark information is reduced to search Rope range, then map global optimization is carried out by the detection of landmark information winding.
The embodiment of the present invention also provides a kind of building map structuring system, including acquisition processing module, for any When vehicle is map structuring mode, obtains the information Perception data of vehicle and extract landmark information from information Perception data;Ground Mapping module is marked, for being based on SLAM algorithm, generates terrestrial reference map and vehicle driving rail according to the information Perception data of vehicle Mark;Comparison match module passes through the ground of the landmark information coordinate matching gradation building of overlay region for comparing overlay region similarity Figure, formation locally or globally construct map.
In this present embodiment, further including grating map module, can travel region for can travel regional movement attitude detection And according to the travelable Area generation grating map of the vehicle driving trace and detection;Wherein, vehicle in parking lot not When driving with region, circulation constructs the grating map and the terrestrial reference map, and formation locally or globally constructs map.
In this present embodiment, further include map data update unit, be used for the building map and the vehicular map Compare, when the building map has update, the content of update is sent to the cloud server of the vehicular map, so that institute It states to update in vehicular map and shows the building map.The result of update can also be uploaded to cloud by map data update unit End, so as to other users downloading.Therefore the building map structuring of the present embodiment may be implemented to construct map structuring immediately.
In this present embodiment, vehicle in parking lot different zones when driving, circulation constructs the grating map and described Map is marked, formation locally or globally constructs map.
The embodiment of the present invention also provides a kind of mobile terminal, and the mobile terminal includes building map structure as described above Build system.Above-mentioned that the building map structuring system is described in detail, details are not described herein.Wherein, the shifting Dynamic terminal is, for example, mobile phone, PAD, or computer or server etc..In another embodiment, mobile terminal includes processor And memory, the memory are stored with program instruction, the processor operation program instruction is realized in method as described above The step of.The mobile terminal is, for example, smart phone, car-mounted terminal etc..
The embodiment provides a kind of computer readable storage mediums, are stored thereon with computer program, the journey The step in method as described above is realized when sequence is executed by processor.
The above-described embodiments merely illustrate the principles and effects of the present invention, and is not intended to limit the present invention.It is any ripe The personage for knowing this technology all without departing from the spirit and scope of the present invention, carries out modifications and changes to above-described embodiment.Cause This, includes that institute is complete without departing from the spirit and technical ideas disclosed in the present invention for usual skill in technical field such as At all equivalent modifications or change, should be covered by the claims of the present invention.

Claims (10)

1. overlay region building and the method for updating map, which comprises the following steps:
S01: when any vehicle is map structuring mode, the information Perception data of vehicle is obtained and are mentioned from information Perception data Take landmark information;
S02: being based on SLAM algorithm, generates terrestrial reference map and vehicle driving according to the athletic posture of vehicle and the landmark information Track;
S03: for the map constructed by several times in step S02, compare overlay region similarity, spliced after successful match;
S04: circulation carries out map structuring process, forms locally or globally map.
2., can when comparing the similarity of overlay region the method according to claim 1, wherein in step S03 The cartographic information perception data of gradation building to be extracted, the terrestrial reference for being included in the information Perception data on boundary according to the map Position that information is in image, size, angle determine the absolute position of the landmark information, and by two or more gradation structures The map built matches according to the absolute position of one or more landmark informations, splices, until obtaining global map.
3. according to the method described in claim 2, it is characterized in that, if when establishing 2D map, by two or more gradation structures The map built is according to absolute position matching, the splicing of three landmark informations, and up to obtaining global map, and preferably three terrestrial references are believed Breath is not on same straight line;If establish 3D map, two or more maps constructed by several times are believed according to four terrestrial references The absolute position of breath carries out matching splicing, and three landmark informations are in a dimension, another landmark information and its excess-three Landmark information is located at different dimensions.
4. described in any item methods according to claim 1~3, which is characterized in that further include the map that will build with it is vehicle-mounted The same coordinate point of map or the regional model of coordinate range are compared, if data are inconsistent, system can report an error;Then Whether the step of changing is needed according to deep learning Network Recognition.
5. according to the method described in claim 4, it is characterized in that, can also be by the map built and the vehicular map ratio Compared with, when the map built has update, by the content of update be sent to the vehicular map cloud server and under It carries, so that updating display in vehicular map.
6. overlay region building and the system for updating map characterized by comprising
Acquisition processing module, for obtaining the information Perception data of vehicle and from letter when any vehicle is map structuring mode Landmark information is extracted in breath perception data;
Terrestrial reference mapping module generates terrestrial reference map and vehicle according to the information Perception data of vehicle for being based on SLAM algorithm Driving trace;
Comparison match module is constructed for comparing overlay region similarity by the landmark information coordinate matching of overlay region by several times Map, formation locally or globally construct map.
7. system according to claim 6, which is characterized in that further include map data update unit, be used for the structure Map is built compared with the vehicular map, when the building map has update, by the content of update be sent to it is described vehicle-mountedly The cloud server of figure shows the building map so that updating in the vehicular map.
8. system according to claim 7, which is characterized in that further include map changing unit, by the map built with The same coordinate point of vehicular map or the regional model of coordinate range are compared, if data are inconsistent, system can report an error; Then whether needed to change building map according to deep learning Network Recognition.
9. a kind of mobile terminal, which is characterized in that the mobile terminal includes map structuring system as described above.
10. a kind of computer readable storage medium, is stored thereon with computer program, it is characterised in that: the program is by processor The step in method according to any one of claims 1 to 5 is realized when execution.
CN201710440699.7A 2017-06-13 2017-06-13 Method, system, mobile terminal and storage medium for constructing map in overlapping area Active CN109086277B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710440699.7A CN109086277B (en) 2017-06-13 2017-06-13 Method, system, mobile terminal and storage medium for constructing map in overlapping area

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710440699.7A CN109086277B (en) 2017-06-13 2017-06-13 Method, system, mobile terminal and storage medium for constructing map in overlapping area

Publications (2)

Publication Number Publication Date
CN109086277A true CN109086277A (en) 2018-12-25
CN109086277B CN109086277B (en) 2024-02-02

Family

ID=64838959

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710440699.7A Active CN109086277B (en) 2017-06-13 2017-06-13 Method, system, mobile terminal and storage medium for constructing map in overlapping area

Country Status (1)

Country Link
CN (1) CN109086277B (en)

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109959937A (en) * 2019-03-12 2019-07-02 广州高新兴机器人有限公司 Localization method, storage medium and electronic equipment of the gallery environment based on laser radar
CN110162040A (en) * 2019-05-10 2019-08-23 重庆大学 A kind of low speed automatic Pilot trolley control method and system based on deep learning
CN110321398A (en) * 2019-06-26 2019-10-11 浙江吉利控股集团有限公司 A kind of dead space is parked method for building up, device and the terminal of map
CN110412595A (en) * 2019-06-04 2019-11-05 深圳市速腾聚创科技有限公司 Roadbed cognitive method, system, vehicle, equipment and storage medium
CN110634104A (en) * 2019-09-05 2019-12-31 北京智行者科技有限公司 Multi-map splicing method and device
CN110986969A (en) * 2019-11-27 2020-04-10 Oppo广东移动通信有限公司 Map fusion method and device, equipment and storage medium
CN111538918A (en) * 2020-04-23 2020-08-14 上海高仙自动化科技发展有限公司 Recommendation method and device, electronic equipment and storage medium
CN112097744A (en) * 2020-09-16 2020-12-18 上海遥程信息科技有限公司 Image scanning method, device, equipment and storage medium for vertical face
CN112148742A (en) * 2019-06-28 2020-12-29 Oppo广东移动通信有限公司 Map updating method and device, terminal and storage medium
WO2021057745A1 (en) * 2019-09-27 2021-04-01 Oppo广东移动通信有限公司 Map fusion method and apparatus, device and storage medium
WO2021088497A1 (en) * 2019-11-08 2021-05-14 华为技术有限公司 Virtual object display method, global map update method, and device
CN112802346A (en) * 2020-12-28 2021-05-14 苏州易航远智智能科技有限公司 Autonomous parking system and method based on cloud sharing and map fusion
CN112836003A (en) * 2021-02-04 2021-05-25 广州小鹏自动驾驶科技有限公司 Map processing method and device
CN113506459A (en) * 2021-06-11 2021-10-15 上海追势科技有限公司 Crowdsourcing map acquisition method for underground parking lot
US20220163334A1 (en) * 2019-03-20 2022-05-26 Lg Electronics Inc. Method for providing navigation service using mobile terminal, and mobile terminal
CN114862956A (en) * 2022-07-07 2022-08-05 中国长江三峡集团有限公司 Scanning equipment mobile positioning method and system suitable for tunnel construction

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100280699A1 (en) * 2009-04-29 2010-11-04 Honeywell International Inc. System and method for simultaneous localization and map building
CN103207634A (en) * 2013-03-20 2013-07-17 北京工业大学 Data fusion system and method of differential GPS (Global Position System) and inertial navigation in intelligent vehicle
DE102013208521A1 (en) * 2013-05-08 2014-11-13 Bayerische Motoren Werke Aktiengesellschaft Collective learning of a highly accurate road model
CN106441319A (en) * 2016-09-23 2017-02-22 中国科学院合肥物质科学研究院 System and method for generating lane-level navigation map of unmanned vehicle

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100280699A1 (en) * 2009-04-29 2010-11-04 Honeywell International Inc. System and method for simultaneous localization and map building
CN103207634A (en) * 2013-03-20 2013-07-17 北京工业大学 Data fusion system and method of differential GPS (Global Position System) and inertial navigation in intelligent vehicle
DE102013208521A1 (en) * 2013-05-08 2014-11-13 Bayerische Motoren Werke Aktiengesellschaft Collective learning of a highly accurate road model
CN106441319A (en) * 2016-09-23 2017-02-22 中国科学院合肥物质科学研究院 System and method for generating lane-level navigation map of unmanned vehicle

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
曹梦龙;崔平远;: "即时定位与制图辅助的INS/GPS组合导航系统" *

Cited By (25)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109959937A (en) * 2019-03-12 2019-07-02 广州高新兴机器人有限公司 Localization method, storage medium and electronic equipment of the gallery environment based on laser radar
CN109959937B (en) * 2019-03-12 2021-07-27 广州高新兴机器人有限公司 Laser radar-based positioning method for corridor environment, storage medium and electronic equipment
US20220163334A1 (en) * 2019-03-20 2022-05-26 Lg Electronics Inc. Method for providing navigation service using mobile terminal, and mobile terminal
US12018947B2 (en) * 2019-03-20 2024-06-25 Lg Electronics Inc. Method for providing navigation service using mobile terminal, and mobile terminal
CN110162040A (en) * 2019-05-10 2019-08-23 重庆大学 A kind of low speed automatic Pilot trolley control method and system based on deep learning
CN110412595A (en) * 2019-06-04 2019-11-05 深圳市速腾聚创科技有限公司 Roadbed cognitive method, system, vehicle, equipment and storage medium
CN110321398A (en) * 2019-06-26 2019-10-11 浙江吉利控股集团有限公司 A kind of dead space is parked method for building up, device and the terminal of map
CN112148742A (en) * 2019-06-28 2020-12-29 Oppo广东移动通信有限公司 Map updating method and device, terminal and storage medium
WO2020259361A1 (en) * 2019-06-28 2020-12-30 Oppo广东移动通信有限公司 Map update method and apparatus, and terminal and storage medium
CN112148742B (en) * 2019-06-28 2024-09-10 Oppo广东移动通信有限公司 Map updating method and device, terminal and storage medium
CN110634104A (en) * 2019-09-05 2019-12-31 北京智行者科技有限公司 Multi-map splicing method and device
CN110634104B (en) * 2019-09-05 2022-11-18 北京智行者科技股份有限公司 Multi-map splicing method and device
WO2021057745A1 (en) * 2019-09-27 2021-04-01 Oppo广东移动通信有限公司 Map fusion method and apparatus, device and storage medium
WO2021088497A1 (en) * 2019-11-08 2021-05-14 华为技术有限公司 Virtual object display method, global map update method, and device
CN110986969A (en) * 2019-11-27 2020-04-10 Oppo广东移动通信有限公司 Map fusion method and device, equipment and storage medium
CN111538918A (en) * 2020-04-23 2020-08-14 上海高仙自动化科技发展有限公司 Recommendation method and device, electronic equipment and storage medium
CN111538918B (en) * 2020-04-23 2022-03-29 上海高仙自动化科技发展有限公司 Recommendation method and device, electronic equipment and storage medium
CN112097744B (en) * 2020-09-16 2022-08-30 上海遥程信息科技有限公司 Image scanning method, device, equipment and storage medium for vertical face
CN112097744A (en) * 2020-09-16 2020-12-18 上海遥程信息科技有限公司 Image scanning method, device, equipment and storage medium for vertical face
CN112802346A (en) * 2020-12-28 2021-05-14 苏州易航远智智能科技有限公司 Autonomous parking system and method based on cloud sharing and map fusion
CN112836003A (en) * 2021-02-04 2021-05-25 广州小鹏自动驾驶科技有限公司 Map processing method and device
CN113506459A (en) * 2021-06-11 2021-10-15 上海追势科技有限公司 Crowdsourcing map acquisition method for underground parking lot
CN114862956A (en) * 2022-07-07 2022-08-05 中国长江三峡集团有限公司 Scanning equipment mobile positioning method and system suitable for tunnel construction
JP7290785B1 (en) 2022-07-07 2023-06-13 中国長江三峡集団有限公司 Mobile positioning method and system for scanning device applied to tunnel construction
JP2024008786A (en) * 2022-07-07 2024-01-19 中国長江三峡集団有限公司 Moving positioning method for scanner applied to tunnel construction and system

Also Published As

Publication number Publication date
CN109086277B (en) 2024-02-02

Similar Documents

Publication Publication Date Title
CN109086277A (en) A kind of overlay region building ground drawing method, system, mobile terminal and storage medium
JP7040867B2 (en) System, method and program
EP3674662B1 (en) Automatic detection and positioning of pole-like objects in 3d
EP3673407B1 (en) Automatic occlusion detection in road network data
US11035678B2 (en) Automatic localization geometry detection
US20190147320A1 (en) "Matching Adversarial Networks"
CN115803781B (en) Method and system for generating a bird's eye view bounding box associated with an object
US10962982B2 (en) Crowdsourcing the collection of road surface information
US11093759B2 (en) Automatic identification of roadside objects for localization
US11657072B2 (en) Automatic feature extraction from imagery
CN108959321A (en) Parking lot map constructing method, system, mobile terminal and storage medium
CN108732589A (en) The training data of Object identifying is used for using 3D LIDAR and positioning automatic collection
CN110388931A (en) The two-dimentional bounding box of object is converted into the method for the three-dimensional position of automatic driving vehicle
CN108387241A (en) Update the method and system of the positioning map of automatic driving vehicle
CN108089572A (en) For the algorithm and infrastructure of steady and effective vehicle location
CN108362295A (en) Vehicle route guides device and method
CN107144285A (en) Posture information determines method, device and movable equipment
US20230266129A1 (en) Map selection for vehicle pose system
CN112740268A (en) Target detection method and device
CN108961811A (en) Parking lot vehicle positioning method, system, mobile terminal and storage medium
CN115855080A (en) Navigation system with independent positioning mechanism and method of operating the same
CN113469045A (en) Unmanned card-collecting visual positioning method and system, electronic equipment and storage medium
WO2022141240A1 (en) Determining vehicle positions for autonomous driving based on monocular vision and semantic map
US12147242B2 (en) Crowdsourcing a sparse map for autonomous vehicle navigation
US20240142239A1 (en) Method, device, system and computer readable storage medium for locating vehicles

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
GR01 Patent grant
GR01 Patent grant