CN110287276A - High-precision map updating method, device and storage medium - Google Patents

High-precision map updating method, device and storage medium Download PDF

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Publication number
CN110287276A
CN110287276A CN201910445725.4A CN201910445725A CN110287276A CN 110287276 A CN110287276 A CN 110287276A CN 201910445725 A CN201910445725 A CN 201910445725A CN 110287276 A CN110287276 A CN 110287276A
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China
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image
vehicle termination
significant change
location information
precision map
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CN110287276B (en
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高晓杰
柳琳
高超
郑超
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Baidu Online Network Technology Beijing Co Ltd
Beijing Baidu Netcom Science and Technology Co Ltd
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Beijing Baidu Netcom Science and Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases

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  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
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  • Data Mining & Analysis (AREA)
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  • General Engineering & Computer Science (AREA)
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Abstract

The application provides a kind of high-precision map updating method, device and storage medium, wherein, this method comprises: obtaining the crowdsourcing image that crowdsourcing vehicle termination uploads, each image carries location information when corresponding vehicle termination acquisition image, based on crowdsourcing image and high-precision map data base, determine the Significant Change element of current high-precision map and the location information of the Significant Change element, the location information of the location information and Significant Change element that are carried further according to each image, obtain the video data of the first vehicle termination set upload, high-precision map data base is updated according to the video data that the first vehicle termination set uploads.In the technical solution, the image and video information that the update of high-precision map data base is uploaded based on crowdsourcing vehicle termination, acquire without using expensive collecting vehicle, and renewal speed is fast, the timeliness that can guarantee map rejuvenation avoids the driving safety problem that automatic driving vehicle occurs.

Description

High-precision map updating method, device and storage medium
Technical field
This application involves automatic Pilot technical fields more particularly to a kind of high-precision map updating method, device and storage to be situated between Matter.
Background technique
High-precision map aims at automatic driving vehicle design, includes road definition, intersection, traffic signals, lane Other elements regular and for automobile navigation.Come really since high-precision map is capable of providing the details in relation to driving environment The safety of automatic driving vehicle is protected, thus, how to ensure that timely updating for high-precision map is to ensure that the key of automatic Pilot safety.
In the high-precision map rejuvenation scheme of the prior art, usually sensed using the laser point cloud being arranged in dedicated collecting vehicle Device, filling lead the high-precision sensors such as equipment acquisition path locus data, and are uploaded to cloud server, by cloud server It is updated based on the path locus data to map received.
However, due at high cost, the limited amount of dedicated collecting vehicle, for the update of high-precision map can only it is regional into Row, not can guarantee the timeliness of update, this requires the timeliness such as automatic driving vehicle relatively high scene, in fact it could happen that drives Sail safety problem.
Summary of the invention
The application provides a kind of high-precision map updating method, device and storage medium, to overcome existing map updating method Present in update timeliness not can guarantee, in fact it could happen that driving safety problem.
A kind of high-precision map updating method that the application first aspect provides, comprising:
The crowdsourcing image that crowdsourcing vehicle termination uploads is obtained, when each image carries corresponding vehicle termination acquisition described image Location information;
Based on the crowdsourcing image and high-precision map data base, Significant Change element and the institute of current high-precision map are determined State the location information of Significant Change element;
It is whole to obtain the first vehicle for the location information of the location information and the Significant Change element that are carried according to each image The video data uploaded is gathered at end, the location of each vehicle termination and effective change in the first vehicle termination set The position for changing element meets preset distance constraints;
The high-precision map data base is updated according to the video data that the first vehicle termination set uploads.
In the present embodiment, image and video letter that the update of high-precision map data base is uploaded based on crowdsourcing public vehicles Breath, acquires without using expensive collecting vehicle, and renewal speed is fast, it is ensured that the timeliness of map rejuvenation avoids certainly The dynamic driving safety problem for driving vehicle and occurring
It is described to be based on the crowdsourcing image and high-precision map data base in a kind of possible design of first aspect, it determines The current Significant Change element of high-precision map and the location information of the Significant Change element out, comprising:
Each image in the crowdsourcing image is analyzed, determine map marker element in each image and The location information of each map marker element;
Location information and the high-precision map data base based on each map marker element, judge each map identification element Whether element is map variation element;
If the image of preset quantity changes element in identical geographical location map having the same, it is determined that the map Variation element is Significant Change element, and the identical geographical location is the location information of the Significant Change element.
In the present embodiment, element is changed in identical geographical location map having the same based on the image of preset quantity Mode, can accurately determine the Significant Change element in current high-precision map, effectively prevent vehicle termination send it is pseudo- It makes picture or hacker invades fraud or vehicle termination acquires the problems such as information is inaccurate.
In the alternatively possible design of first aspect, it is described according to each image carry location information and it is described effectively Change the location information of element, obtain the video data that the first vehicle termination set uploads, comprising:
The location information of the location information and the Significant Change element that are carried according to each image, determines described first Vehicle termination set;
Each vehicle termination into the first vehicle termination set sends video acquisition task, and the video acquisition is appointed Business includes pickup area range, and the Significant Change element is located within the scope of the pickup area;
Receive the video that each vehicle termination acquires within the scope of the pickup area in the first vehicle set Data.
In the present embodiment, cloud server determines effective first vehicle termination set, and gets for high-precision The video data of map reconstruction has established optimized integration for timely updating for high-precision map.
In the above-mentioned possible design of first aspect, the location information carried according to each image and effective change The location information for changing element, determines the first vehicle termination set, comprising:
According to the location information that each image carries, determine that each image corresponds to the terminal essential information of vehicle termination, The terminal essential information includes following at least one: current location information, history driving trace information, Present navigation route letter Breath;
The terminal essential information that vehicle termination is corresponded to according to each image determines the first vehicle termination set.
Another in first aspect may design, the video counts uploaded according to the first vehicle termination set It is updated according to the high-precision map data base, comprising:
Picture point cloud is created according to the video data that the first vehicle termination set uploads;
Based on the laser point cloud in the picture point cloud and the high-precision map data base, the Significant Change element is determined Essential information;
According to high-precision map data base described in the update of basic information of the Significant Change element.
In the present embodiment, cloud server can update the Significant Change element in high-precision map to high-precision map number According in library, have the characteristics that update in time, be easily achieved, at low cost, accuracy is high.
Another in first aspect may design, and the Significant Change element includes at least one of following element: Lane line, guardrail, curb, label and land marking.
The application second aspect provides a kind of high-precision map rejuvenation device, comprising: obtains module, processing module and updates mould Block;
The acquisition module, for obtaining the crowdsourcing image of crowdsourcing vehicle termination upload, each image carries corresponding vehicle Terminal acquires location information when described image;
The processing module determines current high-precision map for being based on the crowdsourcing image and high-precision map data base Significant Change element and the Significant Change element location information;
The acquisition module, the position of the location information and the Significant Change element that are also used to be carried according to each image Information obtains the video data that the first vehicle termination set uploads, each vehicle termination institute in the first vehicle termination set The position at place and the position of the Significant Change element meet preset distance constraints;
The update module, the video data for being uploaded according to the first vehicle termination set is to the high-precision map Database is updated.
In a kind of possible design of second aspect, the processing module, specifically for every in the crowdsourcing image A image is analyzed, and determines the location information of the map marker element and each map marker element in each image, Location information and the high-precision map data base based on each map marker element, judge each map marker element whether be Map changes element, and preset quantity image in identical geographical location map having the same variation element, really The fixed map variation element is Significant Change element, and the identical geographical location is that the position of the Significant Change element is believed Breath.
In the alternatively possible design of second aspect, the acquisition module comprises determining that unit and Transmit-Receive Unit;
The determination unit, the position letter of location information and the Significant Change element for being carried according to each image Breath, determines the first vehicle termination set;
The Transmit-Receive Unit sends video acquisition for each vehicle termination into the first vehicle termination set and appoints Business, the video acquisition task includes pickup area range, and the Significant Change element is located within the scope of the pickup area, with And receive the video data that each vehicle termination acquires within the scope of the pickup area in the first vehicle set.
In the above-mentioned possible design of second aspect, the determination unit, specifically for the position carried according to each image Confidence breath determines that each image correspond to the terminal essential information of vehicle termination, and the terminal essential information includes as follows at least It is a kind of: current location information, history driving trace information, Present navigation line information, and vehicle is corresponded to according to each image The terminal essential information of terminal determines the first vehicle termination set.
Another in second aspect may design, the update module, be specifically used for whole according to first vehicle The video data that end set uploads creates picture point cloud, based on the laser in the picture point cloud and the high-precision map data base Point cloud, determines the essential information of the Significant Change element, and the update of basic information institute according to the Significant Change element State high-precision map data base.
The application third aspect provides a kind of high-precision map rejuvenation device, including processor, memory and is stored in described On memory and the computer program that can run on a processor, the processor realize such as above-mentioned first when executing described program Method described in aspect and each possible design of first aspect.
The application fourth aspect provides a kind of storage medium, and instruction is stored in the storage medium, when it is in computer When upper operation, so that computer executes the method as described in first aspect and each possible design of first aspect.
High-precision map updating method, device and storage medium provided by the embodiments of the present application, it is whole by obtaining crowdsourcing vehicle The crowdsourcing image uploaded is held, each image carries location information when corresponding vehicle termination acquisition described image, is based on above-mentioned crowd Packet image and high-precision map data base determine the Significant Change element of current high-precision map and the position of the Significant Change element Information, the location information of the location information and Significant Change element that carry further according to each image obtain the first vehicle termination collection The video data for closing biography carries out more high-precision map data base according to the video data that the first vehicle termination set uploads Newly.In the technical solution, the image and video information that the update of high-precision map data base is uploaded based on crowdsourcing vehicle termination are not necessarily to It is acquired using expensive collecting vehicle, renewal speed is fast, it is ensured that the timeliness of map rejuvenation avoids automatic Pilot vehicle The driving safety problem occurred.
Detailed description of the invention
Fig. 1 is the application scenarios schematic diagram of high-precision map updating method provided by the embodiments of the present application;
Fig. 2 is the flow diagram of high-precision map updating method embodiment one provided by the embodiments of the present application;
Fig. 3 is the flow diagram of high-precision map updating method embodiment two provided by the embodiments of the present application;
Fig. 4 is the flow diagram of high-precision map updating method embodiment three provided by the embodiments of the present application;
Fig. 5 is the flow diagram of high-precision map updating method example IV provided by the embodiments of the present application;
Fig. 6 is the structural schematic diagram of high-precision map rejuvenation Installation practice one provided by the embodiments of the present application;
Fig. 7 is the structural schematic diagram of high-precision map rejuvenation Installation practice two provided by the embodiments of the present application;
Fig. 8 is the structural schematic diagram of high-precision map rejuvenation Installation practice three provided by the embodiments of the present application.
Specific embodiment
To keep the purposes, technical schemes and advantages of the embodiment of the present application clearer, below in conjunction with the embodiment of the present application In attached drawing, the technical scheme in the embodiment of the application is clearly and completely described, it is clear that described embodiment is Some embodiments of the present application, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art Every other embodiment obtained without creative efforts, shall fall in the protection scope of this application.
High-precision map updating method provided by the embodiments of the present application mainly realizes high-precision map rejuvenation, tool with crowdsourcing model Body, refer to the identification that the track of the social common vehicle of cloud large scale collection low cost is acquired with picture or intelligent vehicle end Result data carries out map visual data processing beyond the clouds, then completes the update of high-precision map data base.More with crowdsourcing model New high-precision map be able to solve high-precision map quickly, the problem of timely updating, improve the safety of automatic driving vehicle, solve In the prior art since the timeliness of high-precision map rejuvenation not can guarantee, it is understood that there may be driving safety problem.
A kind of application scenarios schematic diagram of the embodiment of the present application is introduced below with reference to Fig. 1.Fig. 1 provides for the embodiment of the present application High-precision map updating method application scenarios schematic diagram.As shown in Figure 1, the application scenarios can in embodiments herein To include: crowdsourcing vehicle termination 11, pipeline 12, cloud server 13 and storage equipment 14.
Wherein, crowdsourcing vehicle termination 11 can be is made of large-scale common public vehicles, can also be by with data The intelligent vehicle of processing capacity and recognition capability composition, can also forming by common public vehicles and intelligent vehicle.
In practical applications, which can be network, i.e. crowdsourcing vehicle termination 11 passes through network for collected figure As being uploaded to cloud server 13, the identification and processing of map marker element are executed by cloud server 13.Optionally, beyond the clouds It can determine effective change of current high-precision map in server 13 based on the image that crowdsourcing vehicle termination reports by crowdsourcing platform Change element, and executes the update work of high-precision map data base.
Optionally, which can be used for storing the image or GPS track information of crowdsourcing vehicle termination upload, also It can be used for storing the map element information and map feature information of high-precision map.
Illustratively, which may include: crowdsourcing database, high-precision map data base and high-precision map feature Library.Wherein, crowdsourcing database is used to store the information such as image or the GPS track information of the upload of crowdsourcing vehicle termination, high-precision map Database is used to store the element information of high-precision map, which is used to store the characteristic information of high-precision map Deng.It is worth noting that the embodiment of the present application does not limit the concrete composition of storage equipment, can carry out according to the actual situation It determines.
It should be noted that attached drawing 1 is only a kind of schematic diagram of application scenarios provided by the embodiments of the present application, institute in Fig. 1 Show that the positional relationship between equipment is not limited in any way, for example, in fig. 1, storage equipment can relative to cloud server To be external memory, in other cases, storage equipment can also be placed in cloud server.
In the following, being described in detail by technical solution of the specific embodiment to the application.It should be noted that below this Several specific embodiments can be combined with each other, may in certain embodiments no longer for the same or similar concept or process It repeats.
Fig. 2 is the flow diagram of high-precision map updating method embodiment one provided by the embodiments of the present application.This is high-precisionly Figure update method can be executed by cloud server, can also be executed by the crowdsourcing platform on cloud server.In the present embodiment This method is executed with cloud server to be illustrated.As shown in Fig. 2, the high-precision map updating method may include steps of:
Step 21: obtaining the crowdsourcing image that crowdsourcing vehicle termination uploads, each image carries corresponding vehicle termination and acquires institute State location information when image.
Optionally, in the present embodiment, cloud server can execute the high-precision map more under the triggering of applications New method.Specifically, cloud server obtains the crowdsourcing image of crowdsourcing vehicle termination upload first.Specifically, cloud server The crowdsourcing image that crowdsourcing vehicle termination uploads can be directly obtained from the crowdsourcing database of storage equipment, also can receive crowdsourcing The crowdsourcing image that vehicle termination directly reports, the embodiment of the present application are not defined the acquisition modes of crowdsourcing image, can With determines according to actual conditions.
Illustratively, in the present embodiment, common public vehicles namely crowdsourcing vehicle termination are every a distance (such as 20 Rice) image can be acquired by the acquisition equipment installed on vehicle and record the GPS rail of vehicle termination this moment on the image Mark location information, and uploaded to cloud server.
That is, each vehicle termination in crowdsourcing vehicle termination can upload one acquisition with the preset distance of every traveling The image arrived can not also report the mode of image to be defined vehicle termination with real-time report, the embodiment of the present application, can With determines according to actual conditions.
It is worth noting that including at least one image that each vehicle termination reports in above-mentioned crowdsourcing image, about every The amount of images that a vehicle termination reports, the embodiment of the present application are simultaneously not limited thereof.
Step 22: being based on the crowdsourcing image and high-precision map data base, determine the Significant Change member of current high-precision map The location information of element and the Significant Change element.
Optionally, in embodiments herein, cloud server can first divide the crowdsourcing image received Analysis, determines map marker element from every image in crowdsourcing image, in conjunction with the ground pel in high-precision map data base Element judges whether the map marker element in every image is map variation element and determines that the map in every image becomes Change element, finally based on the classification of map variation element and position in every image, changes element from the map in all images In determine the current Significant Change element of high-precision map and the location information of effective map element.
Illustratively, in embodiments herein, map marker element includes but is not limited to road, lane line, mark Board, land marking etc., wherein road may include guardrail, curb etc., and label includes: road sign, indicative board, limit for height board etc. Various types, land marking include: to shunt mark, entrance mark, speed limit mark, in limited time mark etc..
Correspondingly, including above-mentioned road (guardrail, curb), lane line, mark in map marker element in the present embodiment When the classifications such as board, land marking, which also may include at least one of following element: lane line, guardrail, road Edge, label and land marking.
It is worth noting that map marker element, map do not change element and Significant Change to the embodiment of the present application The specific category and the form of expression of element are defined, and can be determined according to the concrete condition of practical application.
Step 23: the location information of the location information and the Significant Change element that are carried according to each image obtains first The video data that vehicle termination set uploads.
Wherein, in the first vehicle termination set the location of each vehicle termination and the map variation element position Meet preset distance constraints.
Illustratively, in the present embodiment, the location information that cloud server is carried according to each image can be determined The location of each vehicle termination for uploading image is comformed packet vehicle termination in conjunction with the location information of the Significant Change element In determine the first vehicle termination set for meeting preset distance constraints.That is, each in the first vehicle termination set The position of the location of vehicle termination and the Significant Change element meets preset distance constraints.
Illustratively, preset distance constraints can refer between vehicle termination position and Significant Change element Distance is less than preset threshold.For example, a distance range is (for example, 100~200 meters before and after the Significant Change element position Deng) in all vehicle terminations be all satisfied above-mentioned preset distance constraints.
Step 24: high-precision map data base being updated according to the video data that the first vehicle termination set uploads.
In embodiments herein, cloud server gets each vehicle termination in the first vehicle termination set and uploads Video data after, the three-dimensional reconstruction of high-precision map can be executed based on preset algorithm for reconstructing and above-mentioned video data, is obtained Picture point cloud determines the basic of Significant Change element in conjunction with laser point cloud of high-precision map data base during creation Information is updated high-precision map data base to be conducive to the essential information.
High-precision map updating method provided by the embodiments of the present application, the crowdsourcing figure uploaded by obtaining crowdsourcing vehicle termination Picture, each image carry location information when corresponding vehicle termination acquisition described image, based on above-mentioned crowdsourcing image and high-precision Chart database determines the Significant Change element of current high-precision map and the location information of the Significant Change element, further according to every The location information of location information and Significant Change element that a image carries obtains the video counts that the first vehicle termination set uploads According to, according to the first vehicle termination set upload video data high-precision map data base is updated.In the technical solution, The image and video information that the update of high-precision map data base is uploaded based on crowdsourcing public vehicles, are adopted without using expensive Collect vehicle acquisition, renewal speed is fast, it is ensured that the timeliness of map rejuvenation avoids the driving safety of automatic driving vehicle appearance Problem.
Illustratively, on the basis of the above embodiments, Fig. 3 is high-precision map updating method provided by the embodiments of the present application The flow diagram of embodiment two.As shown in figure 3, in the present embodiment, above-mentioned steps 22 can be achieved by the steps of:
Step 31: each image in crowdsourcing image being analyzed, determines the map marker element in each image And the location information of each map marker element.
Illustratively, in the present embodiment, after cloud server gets the crowdsourcing image of crowdsourcing vehicle termination transmission, Analysis and image recognition processing are carried out to each image in crowdsourcing image, identify the map marker element in each image. For example, the element informations such as lane line, road (guardrail, curb), label, land marking.
Optionally, it after cloud server determines the map marker element in each image, is also based on the image and takes The location information of band determines the location information of the map marker element.
Step 32: location information and high-precision map data base based on each map marker element judge each ground icon Know whether element is map variation element.
Illustratively, cloud server inquires high-precision map data base according to the location information of each map marker element, Whether the map element for judging the corresponding position in map data base is above-mentioned map marker element, if the two is consistent, really The fixed map marker element is not map variation element, without any processing;If the two is inconsistent, it is determined that the map identification element Element is that map changes element.
It is worth noting that cloud server can also incite somebody to action after the location information for determining each map marker element Each map marker element and high-precision map data base carry out calculus of differences, judge the ground of each map marker element position Whether pel element changes (including newly-increased, modification, delete etc.), and by the changed map of the map element of position Marker element is determined as map variation element.
Step 33: if the image of preset quantity changes element in identical geographical location map having the same, it is determined that It is Significant Change element that the map, which changes element, and identical geographical location is the location information of Significant Change element.
It in the present embodiment, can be in conjunction with the map variation in other images for determining that each map changes element Element judges whether have the image of preset quantity in identical geographical location to there is the map of the same category to become in crowdsourcing image Change element, if so, thinking that map variation element is Significant Change element, correspondingly, above-mentioned identical geographical location is to have The location information of effect variation element.
It is worth noting that in the present embodiment, the image of above-mentioned preset quantity can be the different vehicles by preset quantity Issue, i.e., the vehicle termination of preset quantity think the same geographical location map marker element and high-precision map datum Map element variation having the same in library, it is determined that the map marker element in the same geographical location is Significant Change member Element.
Optionally, which is the threshold value set in cloud server, for example, 3,5 is equivalent.The application is implemented Example is not defined the specific value of preset quantity, can be determines according to actual conditions.
High-precision map updating method provided by the embodiments of the present application, by dividing each image in crowdsourcing image Analysis, determines the location information of the map marker element and each map marker element in each image, is based on each map The location information of marker element and high-precision map data base judge whether each map marker element is map variation element, and And determine that the map changes element in identical geographical location map variation element having the same in the image of preset quantity For Significant Change element, identical geographical location is the location information of Significant Change element.The technical solution can accurately really The Significant Change element in current high-precision map is made, vehicle termination transmission forgery picture is effectively prevented or hacker's intrusion is made The problems such as false or vehicle termination acquisition information is inaccurate.
Illustratively, in embodiments herein, Fig. 4 is that high-precision map updating method provided by the embodiments of the present application is real Apply the flow diagram of example three.As shown in figure 4, in the present embodiment, above-mentioned steps 23 can be achieved by the steps of:
Step 41: the location information of the location information and Significant Change element that are carried according to each image determines first Vehicle termination set.
Illustratively, in the present embodiment, the location information carried based on each image can be determined to report each figure As vehicle termination where position, according to the location information of Significant Change element determine include the Significant Change element region Range.Thus, by the position where judging each vehicle termination whether be located in the regional scope of the Significant Change element come The first vehicle termination set is determined, that is, the position of each vehicle termination in the first vehicle termination set is respectively positioned on effective change In the regional scope for changing element.
Optionally, the regional scope of the Significant Change element can be before and after the Significant Change element position one section away from Range from composition.
Illustratively, in a kind of possible design of the present embodiment, which can also be achieved by the steps of:
Step A1: the location information carried according to each image determines that each image corresponds to the terminal base of vehicle termination This information, the terminal essential information include following at least one: current location information, history driving trace information, Present navigation Line information;
Step A2: corresponding to the terminal essential information of vehicle termination according to each image, determines the first vehicle termination set.
In the present embodiment, for common public vehicles, when user drive a certain vehicle go to from a certain departure place it is a certain When destination, under normal circumstances, the GPS function that can enable vehicle checks the traffic information of present road, route information etc..Cause And the GPS function that cloud server can be enabled based on vehicle obtains the current location information of the vehicle.
Further, when user is using current high-precision map inquiry route information from origin to destination or when leading Navigate line information, and cloud server can determine the current location information of the vehicle termination, Present navigation line information.
In addition, cloud server is also based on the log-on message of the user, inquire when the user drives vehicle termination History driving trace information.
So in the present embodiment, cloud server can correspond to vehicle termination based on each image of above-mentioned determination One of terminals essential informations such as current location information, history driving trace information, Present navigation line information are a variety of, really The first vehicle termination set being located within the scope of the Significant Change element region is made, in the first vehicle termination set Each vehicle termination is for executing video acquisition task.
Step 42: each vehicle termination into the first vehicle termination set sends video acquisition task.
Wherein, which includes pickup area range, which is located at the pickup area range It is interior.
Optionally, in the present embodiment, in order to Significant Change element region progress three-dimensional reconstruction, cloud server Need to send the video acquisition task including pickup area range, and above-mentioned Significant Change to the first determining vehicle termination set Element is located within the scope of the pickup area, and each vehicle termination in such first vehicle termination set can just be based on receiving The video acquisition task acquire video data.
Step 43: receiving the video counts that each vehicle termination acquires within the scope of the pickup area in the first vehicle set According to.
Illustratively, each vehicle termination in the first vehicle set can be based on the video acquisition task received, really The corresponding pickup area range of the video acquisition task is made, and acquisition includes effective dimensions of variability within the scope of the pickup area Video data including element.
High-precision map updating method provided by the embodiments of the present application, the location information carried according to each image and effectively change The location information for changing element, determines the first vehicle termination set, each vehicle termination hair into the first vehicle termination set Video acquisition task is sent, the video counts that each vehicle termination acquires within the scope of the pickup area in the first vehicle set are received According to.In the technical solution, cloud server determines effective first vehicle termination set, and gets for high-precision map weight The video data built has established optimized integration for timely updating for high-precision map.
Illustratively, in embodiments herein, Fig. 5 is that high-precision map updating method provided by the embodiments of the present application is real Apply the flow diagram of example four.As shown in figure 5, in the present embodiment, above-mentioned steps 24 can be achieved by the steps of:
Step 51: picture point cloud is created according to the video data that the first vehicle termination set uploads.
Optionally, in the present embodiment, after cloud server gets the video data of the first vehicle termination set upload, Preset algorithm for reconstructing can be used, picture point cloud is created according to the video data received.
The embodiment of the present application is defined the specific implementation not to preset algorithm for reconstructing, for example, it can also be suitable When any one or more deep learning algorithms or model, for example, deep learning network or convolutional neural networks etc..It is specific real It now can be determines according to actual conditions.
Illustratively, cloud server can using motion structure (structure-from-motion, SFM) algorithm or The other types of 3 D visual algorithm for reconstructing of person, completes the three-dimensional reconstruction of high-precision map, obtains picture point cloud.
SFM algorithm is a kind of off-line algorithm that three-dimensional reconstruction is carried out based on the various unordered pictures being collected into.In this implementation In the practical application of example, cloud server picks out the image of suitable three-dimensional reconstruction from the video information received first, so Afterwards based on the image creation picture point cloud selected.
It is worth noting that since the data volume that three-dimensional reconstruction needs is very big, but it is not possible that the modeling of full dose map element, institute With cloud server only models region relevant to Significant Change element or road, so that picture point cloud in the present embodiment Creation be possibly realized.
Step 52: based on the laser point cloud in the picture point cloud and high-precision map data base, determining Significant Change element Essential information.
Illustratively, in the present embodiment, high-precision map data base can be the laser generated using centralized system chart-pattern Point cloud, so, cloud server can be carried out with the laser point cloud in picture point cloud created and high-precision map data base Match, some significant semantic features about high-precision map that matching is generated using centralized system chart-pattern, for example, such as lamp stand, shield Column, label etc., and then the essential information for needing the Significant Change element updated is extracted from above-mentioned picture point cloud.
Optionally, the essential information of Significant Change element may include: geometric position and the attribute letter of Significant Change element Cease isovector information.Wherein, which is specifically as follows geographical location (longitude and latitude) and coordinate, which includes: Colouring information and/or numerical value and/or guiding etc..
It is worth noting that the embodiment of the present application does not limit the specific manifestation shape of the essential information of effective dimensions of variability element Formula, can be determines according to actual conditions.
Step 53: according to the high-precision map data base of the update of basic information of Significant Change element.
Optionally, in embodiments herein, cloud server is according to the basic letter of the Significant Change element extracted Breath, leads to too small amount of human assistance, can be updated in high-precision map data base.Illustratively, which can be with It including but not limited to include the contents such as validation of information, information inspection, information adjustment on human-computer interaction interface, it can root It is determined according to actual conditions.
High-precision map updating method provided by the embodiments of the present application, the video data uploaded according to the first vehicle termination set It creates picture point cloud and the base of Significant Change element is determined based on the laser point cloud in the picture point cloud and high-precision map data base This information, according to the high-precision map data base of the update of basic information of Significant Change element.In the technical solution, cloud server energy Enough Significant Change elements by high-precision map are updated into high-precision map data base, have update in time, be easily achieved, cost Feature low, accuracy is high.
It is worth noting that the high-precision map rejuvenation of the embodiment of the present application can be summarized as the crowd uploaded based on crowdsourcing terminal Packet image finds the Significant Change element of high-precision map, further according to the first vehicle termination collection for meeting preset distance constraints Close acquisition include effective dimensions of variability element video data, finally to obtained video data beyond the clouds server use it is preset heavy It builds algorithm and carries out three-dimensional reconstruction, and extract the essential information of Significant Change element, to realize to high-precision map data base It updates.Program renewal speed is fast, is easily achieved, and reduces update difficulty, avoids driving of being likely to occur to a certain extent Sail safety problem.
In another possible design of the application, the crowdsourcing terminal of the application can also be entirely with data processing, become Change identification etc. edges computing capability intelligent vehicle, at this moment, intelligent vehicle just can be to acquired image or video at Reason determines that map changes element, is determined by the laser point cloud in the picture point cloud and high-precision map data base of three-dimensional creation The essential information of Significant Change element out, then cloud server is sent it to, it is realized by cloud server or crowdsourcing platform high The update of smart map data base.
Following is the application Installation practice, can be used for executing the application embodiment of the method.It is real for the application device Undisclosed details in example is applied, the application embodiment of the method is please referred to.
Fig. 6 is the structural schematic diagram of high-precision map rejuvenation Installation practice one provided by the embodiments of the present application.The device can To be integrated in cloud server, can also be realized by the crowdsourcing platform on cloud server.As shown in fig. 6, this is high-precisionly Figure updating device may include: to obtain module 61, processing module 62 and update module 63.
Wherein, the acquisition module 61, for obtaining the crowdsourcing image of crowdsourcing vehicle termination upload, each image, which carries, to be corresponded to Vehicle termination acquires location information when described image;
The processing module 62 determines current high-precision map for being based on the crowdsourcing image and high-precision map data base Significant Change element and the Significant Change element location information;
The acquisition module 61, the position of the location information and the Significant Change element that are also used to be carried according to each image Information obtains the video data that the first vehicle termination set uploads, each vehicle termination institute in the first vehicle termination set The position at place and the position of the Significant Change element meet preset distance constraints;
The update module 63, the video data for being uploaded according to the first vehicle termination set is to the high-precision map Database is updated.
Illustratively, in a kind of possible design of the application, which is specifically used for the crowdsourcing image In each image analyzed, determine the position of the map marker element and each map marker element in each image Information, location information and the high-precision map data base based on each map marker element, judges each map marker element Whether it is map variation element, and changes element in identical geographical location map having the same in the image of preset quantity When, determine that the map variation element is Significant Change element, the identical geographical location is the Significant Change element Location information.
Illustratively, in the alternatively possible design of the application, Fig. 7 be high-precision map provided by the embodiments of the present application more The structural schematic diagram of new equipment embodiment two.As shown in fig. 7, in the present embodiment, above-mentioned acquisition module 61 comprises determining that unit 71 and Transmit-Receive Unit 72.
The determination unit 71, the position letter of location information and the Significant Change element for being carried according to each image Breath, determines the first vehicle termination set;
The Transmit-Receive Unit 72 sends video acquisition for each vehicle termination into the first vehicle termination set and appoints Business, the video acquisition task includes pickup area range, and the Significant Change element is located within the scope of the pickup area, with And receive the video data that each vehicle termination acquires within the scope of the pickup area in the first vehicle set.
Illustratively, in the present embodiment, the determination unit 71 is believed specifically for the position carried according to each image Breath determines that each image corresponds to the terminal essential information of vehicle termination, and the terminal essential information includes following at least one: Current location information, history driving trace information, Present navigation line information, and vehicle termination is corresponded to according to each image Terminal essential information determines the first vehicle termination set.
Illustratively, another in the application may design, above-mentioned update module 63, be specifically used for according to described the The video data that one vehicle termination set uploads creates picture point cloud, is based on the picture point cloud and the high-precision map data base In laser point cloud, determine the essential information of the Significant Change element, and the basic letter according to the Significant Change element Breath updates the high-precision map data base.
Device provided by the embodiments of the present application can be used for executing method of the Fig. 2 into embodiment illustrated in fig. 5, realize former Reason is similar with technical effect, and details are not described herein.
It should be noted that it should be understood that the modules of apparatus above division be only a kind of logic function division, It can completely or partially be integrated on a physical entity in actual implementation, it can also be physically separate.And these modules can be with All realized by way of processing element calls with software;It can also all realize in the form of hardware;It can also part mould Block realizes that part of module passes through formal implementation of hardware by way of processing element calls software.For example, determining module can be with For the processing element individually set up, it also can integrate and realized in some chip of above-mentioned apparatus, in addition it is also possible to program The form of code is stored in the memory of above-mentioned apparatus, is called by some processing element of above-mentioned apparatus and is executed above true The function of cover half block.The realization of other modules is similar therewith.Furthermore these modules completely or partially can integrate together, can also With independent realization.Processing element described here can be a kind of integrated circuit, the processing capacity with signal.In the process of realization In, each step of the above method or the above modules can by the integrated logic circuit of the hardware in processor elements or The instruction of software form is completed.
For example, the above module can be arranged to implement one or more integrated circuits of above method, such as: One or more specific integrated circuits (application specific integrated circuit, ASIC), or, one Or multi-microprocessor (digital signal processor, DSP), or, one or more field programmable gate array (field programmable gate array, FPGA) etc..For another example, when some above module dispatches journey by processing element When the form of sequence code is realized, which can be general processor, such as central processing unit (central Processing unit, CPU) or it is other can be with the processor of caller code.For another example, these modules can integrate one It rises, is realized in the form of system on chip (system-on-a-chip, SOC).
In the above-described embodiments, can come wholly or partly by software, hardware, firmware or any combination thereof real It is existing.When implemented in software, it can entirely or partly realize in the form of a computer program product.The computer program Product includes one or more computer instructions.When loading on computers and executing the computer program instructions, all or It partly generates according to process or function described in the embodiment of the present application.The computer can be general purpose computer, dedicated meter Calculation machine, computer network or other programmable devices.The computer instruction can store in computer readable storage medium In, or from a computer readable storage medium to the transmission of another computer readable storage medium, for example, the computer Instruction can pass through wired (such as coaxial cable, optical fiber, number from a web-site, computer, server or data center User's line (DSL)) or wireless (such as infrared, wireless, microwave etc.) mode to another web-site, computer, server or Data center is transmitted.The computer readable storage medium can be any usable medium that computer can access or It is comprising data storage devices such as one or more usable mediums integrated server, data centers.The usable medium can be with It is magnetic medium, (for example, floppy disk, hard disk, tape), optical medium (for example, DVD) or semiconductor medium (such as solid state hard disk Solid state disk (SSD)) etc..
Fig. 8 is the structural schematic diagram of high-precision map rejuvenation Installation practice three provided by the embodiments of the present application.Such as Fig. 8 institute Show, the apparatus may include processor 81, memory 82, communication interface 83 and system bus 84, the memory 82 and described Communication interface 83 connect with the processor 81 by the system bus 84 and completes mutual communication, the memory 82 For storing computer executed instructions, the communication interface 83 is used for and other equipment are communicated, and the processor 81 executes The scheme such as above-mentioned Fig. 2 to embodiment illustrated in fig. 5 is realized when the computer executed instructions.
The system bus mentioned in the Fig. 8 can be Peripheral Component Interconnect standard (peripheral component Interconnect, PCI) bus or expanding the industrial standard structure (extended industry standard Architecture, EISA) bus etc..The system bus can be divided into address bus, data/address bus, control bus etc..For Convenient for indicating, only indicated with a thick line in figure, it is not intended that an only bus or a type of bus.Communication interface For realizing the communication between database access device and other equipment (such as client, read-write library and read-only library).Memory May include random access memory (random access memory, RAM), it is also possible to further include nonvolatile memory (non-volatile memory), for example, at least a magnetic disk storage.
Above-mentioned processor can be general processor, including central processor CPU, network processing unit (network Processor, NP) etc.;It can also be digital signal processor DSP, application-specific integrated circuit ASIC, field programmable gate array FPGA or other programmable logic device, discrete gate or transistor logic, discrete hardware components.
Optionally, the embodiment of the present application also provides a kind of storage medium, and instruction is stored in the storage medium, when its When being run on computer, so that computer executes the method such as above-mentioned Fig. 2 to embodiment illustrated in fig. 5.
Optionally, the embodiment of the present application also provides a kind of chip of operating instruction, and the chip is for executing above-mentioned Fig. 2 extremely The method of embodiment illustrated in fig. 5.
In the application, "at least one" refers to one or more, and " multiple " refer to two or more."and/or", The incidence relation of affiliated partner is described, indicates may exist three kinds of relationships, for example, A and/or B, can indicate: individualism A, Exist simultaneously A and B, the case where individualism B, wherein A, B can be odd number or plural number.Character "/" typicallys represent front and back and closes Connection object is a kind of relationship of "or";In formula, character "/" indicates that forward-backward correlation object is the relationship of a kind of " being divided by ". At least one of " following (a) " or its similar expression, refer to these in any combination, including individual event (a) or complex item Any combination of (a).For example, at least one (a) in a, b or c, can indicate: a, b, c, a-b, a-c, b-c or a-b- C, wherein a, b, c can be individually, be also possible to multiple.
It is understood that the area that the various digital numbers involved in embodiments herein only carry out for convenience of description Point, it is not intended to limit the range of embodiments herein.
It is understood that magnitude of the sequence numbers of the above procedures are not meant to execute in embodiments herein Sequence it is successive, the execution of each process sequence should be determined by its function and internal logic, without coping with embodiments herein Implementation process constitutes any restriction.
Finally, it should be noted that the above various embodiments is only to illustrate the technical solution of the application, rather than its limitations;To the greatest extent Pipe is described in detail the application referring to foregoing embodiments, those skilled in the art should understand that: its according to So be possible to modify the technical solutions described in the foregoing embodiments, or to some or all of the technical features into Row equivalent replacement;And these are modified or replaceed, each embodiment technology of the application that it does not separate the essence of the corresponding technical solution The range of scheme.

Claims (13)

1. a kind of high-precision map updating method characterized by comprising
The crowdsourcing image that crowdsourcing vehicle termination uploads is obtained, each image carries position when corresponding vehicle termination acquisition described image Confidence breath;
Based on the crowdsourcing image and high-precision map data base, determines the Significant Change element of current high-precision map and described have The location information of effect variation element;
The location information of the location information and the Significant Change element that are carried according to each image obtains the first vehicle termination collection The video data of biography is closed, the location of each vehicle termination and the Significant Change member in the first vehicle termination set The position of element meets preset distance constraints;
The high-precision map data base is updated according to the video data that the first vehicle termination set uploads.
2. the method according to claim 1, wherein described be based on the crowdsourcing image and high-precision map datum Determine the current Significant Change element of high-precision map and the location information of the Significant Change element in library, comprising:
Each image in the crowdsourcing image is analyzed, determines map marker element in each image and each The location information of map marker element;
Location information and the high-precision map data base based on each map marker element judge that each map marker element is It is no to change element for map;
If the image of preset quantity changes element in identical geographical location map having the same, it is determined that the map variation Element is Significant Change element, and the identical geographical location is the location information of the Significant Change element.
3. the method according to claim 1, wherein the location information and described carried according to each image The location information of Significant Change element obtains the video data that the first vehicle termination set uploads, comprising:
The location information of the location information and the Significant Change element that are carried according to each image, determines first vehicle Terminal set;
Each vehicle termination into the first vehicle termination set sends video acquisition task, the video acquisition task packet Pickup area range is included, the Significant Change element is located within the scope of the pickup area;
Receive the video data that each vehicle termination acquires within the scope of the pickup area in the first vehicle set.
4. according to the method described in claim 3, it is characterized in that, the location information and described carried according to each image The location information of Significant Change element determines the first vehicle termination set, comprising:
According to the location information that each image carries, determine that each image corresponds to the terminal essential information of vehicle termination, it is described Terminal essential information includes following at least one: current location information, history driving trace information, Present navigation line information;
The terminal essential information that vehicle termination is corresponded to according to each image determines the first vehicle termination set.
5. method according to claim 1-4, which is characterized in that described according to the first vehicle termination set The video data of upload is updated the high-precision map data base, comprising:
Picture point cloud is created according to the video data that the first vehicle termination set uploads;
Based on the laser point cloud in the picture point cloud and the high-precision map data base, the base of the Significant Change element is determined This information;
According to high-precision map data base described in the update of basic information of the Significant Change element.
6. method according to claim 1-4, which is characterized in that the Significant Change element includes following element At least one: lane line, guardrail, curb, label and land marking.
7. a kind of high-precision map rejuvenation device characterized by comprising obtain module, processing module and update module;
The acquisition module, for obtaining the crowdsourcing image of crowdsourcing vehicle termination upload, each image carries corresponding vehicle termination Acquire location information when described image;
The processing module determines having for current high-precision map for being based on the crowdsourcing image and high-precision map data base The location information of effect variation element and the Significant Change element;
The acquisition module, the position letter for the location information and the Significant Change element for being also used to be carried according to each image Breath obtains the video data that the first vehicle termination set uploads, in the first vehicle termination set locating for each vehicle termination Position and the position of the Significant Change element meet preset distance constraints;
The update module, the video data for being uploaded according to the first vehicle termination set is to the high-precision map datum Library is updated.
8. device according to claim 7, which is characterized in that the processing module is specifically used for the crowdsourcing image In each image analyzed, determine the position of the map marker element and each map marker element in each image Information, location information and the high-precision map data base based on each map marker element, judges each map marker element Whether it is map variation element, and changes element in identical geographical location map having the same in the image of preset quantity When, determine that the map variation element is Significant Change element, the identical geographical location is the Significant Change element Location information.
9. device according to claim 7, which is characterized in that the acquisition module comprises determining that unit and Transmit-Receive Unit;
The determination unit, the location information of location information and the Significant Change element for being carried according to each image, Determine the first vehicle termination set;
The Transmit-Receive Unit sends video acquisition task for each vehicle termination into the first vehicle termination set, The video acquisition task includes pickup area range, and the Significant Change element is located within the scope of the pickup area, and Receive the video data that each vehicle termination acquires within the scope of the pickup area in the first vehicle set.
10. device according to claim 9, which is characterized in that the determination unit, specifically for being taken according to each image The location information of band determines that each image corresponds to the terminal essential information of vehicle termination, and the terminal essential information includes such as Lower at least one: current location information, history driving trace information, Present navigation line information, and according to each image pair The terminal essential information for answering vehicle termination determines the first vehicle termination set.
11. according to the described in any item devices of claim 7-10, which is characterized in that the update module is specifically used for basis The video data that the first vehicle termination set uploads creates picture point cloud, is based on the picture point cloud and the high-precision map Laser point cloud in database determines the essential information of the Significant Change element, and according to the Significant Change element High-precision map data base described in update of basic information.
12. a kind of high-precision map rejuvenation device, including processor, memory and it is stored on the memory and can be in processor The computer program of upper operation, which is characterized in that the processor realizes that the claims 1-6 such as appoints when executing described program Method described in one.
13. a kind of storage medium, which is characterized in that instruction is stored in the storage medium, when run on a computer, So that computer executes as the method according to claim 1 to 6.
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