CN112541258A - Test scene library of automatic driving automobile test field - Google Patents
Test scene library of automatic driving automobile test field Download PDFInfo
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- CN112541258A CN112541258A CN202011423251.2A CN202011423251A CN112541258A CN 112541258 A CN112541258 A CN 112541258A CN 202011423251 A CN202011423251 A CN 202011423251A CN 112541258 A CN112541258 A CN 112541258A
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- 238000012360 testing method Methods 0.000 title claims abstract description 59
- 238000010276 construction Methods 0.000 claims abstract description 9
- 238000001514 detection method Methods 0.000 claims abstract description 7
- 238000000034 method Methods 0.000 claims abstract description 6
- 230000008569 process Effects 0.000 claims abstract description 6
- 238000005065 mining Methods 0.000 claims abstract description 4
- 238000011160 research Methods 0.000 claims description 6
- 230000003993 interaction Effects 0.000 claims description 4
- 230000008447 perception Effects 0.000 claims description 4
- 238000012356 Product development Methods 0.000 claims description 3
- 206010039203 Road traffic accident Diseases 0.000 claims description 3
- 238000009472 formulation Methods 0.000 claims description 3
- 238000007726 management method Methods 0.000 claims description 3
- 239000000203 mixture Substances 0.000 claims description 3
- 230000011218 segmentation Effects 0.000 claims description 3
- 238000012549 training Methods 0.000 claims description 3
- 238000012795 verification Methods 0.000 claims description 3
- 230000004888 barrier function Effects 0.000 claims description 2
- 238000005516 engineering process Methods 0.000 claims description 2
- 230000007613 environmental effect Effects 0.000 claims 1
- 238000012827 research and development Methods 0.000 abstract description 5
- 238000013461 design Methods 0.000 abstract description 3
- 238000005457 optimization Methods 0.000 abstract description 2
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 230000018109 developmental process Effects 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 230000006399 behavior Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/15—Vehicle, aircraft or watercraft design
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
Abstract
The invention relates to the technical field of test, research and development, test and detection of an automatic driving automobile, in particular to a test scene library of an automatic driving automobile test field, which comprises a scene library, wherein the basic construction process of the scene library comprises the following steps: firstly, taking drive test data, vehicle-mounted data and virtual data as sources to input and store scene sources; secondly, constructing a scene library with hierarchy and planning through scene mining, scene classification and scene deduction modes; and finally, applying the scene library to a scene testing link, wherein the link comprises a software ring, a hardware ring, a whole vehicle ring, a closed road and an open road. The test scene library of the automatic driving automobile test field is based on scene elements and driving behavior data, provides important support for design and optimization of intelligent driving decision logic, and provides basis for reasonable control of vehicles by utilizing vehicle dynamics models and the like under different scene conditions in the aspect of cooperative control.
Description
Technical Field
The invention relates to the technical field of test, research and development, test and detection of an automatic driving automobile, in particular to a test scene library of an automatic driving automobile test field.
Background
The research and development speed of the automatic driving automobile in China is very fast, the automatic driving automobiles of multiple enterprises begin to test on roads, but the current road test has a series of limitations such as high test cost, long test period, more test accidents and the like, and the automatic driving automobile test is simplified, atypical and incapable of covering all complex special scenes.
The construction and application of the test scene library of the test field of the automatic driving automobile are important links which cannot be lost in the fields of development, test, evaluation and the like of intelligent driving auxiliary products and automatic driving products, and no complete scene library data or complete scene system exists at present, so that the test scene library of the test field of the automatic driving automobile is designed and is urgently needed in the technical fields of test, research and development, test and detection of the automatic driving automobile at present.
Disclosure of Invention
The invention provides a test scene library of an automatic driving automobile test field, which aims to solve the problems in the prior art.
In order to achieve the above object, the embodiments of the present invention provide the following technical solutions:
according to the embodiment of the invention, the test scene library of the test field of the automatic driving automobile comprises a scene library, wherein the scene library comprises a following scene, a pedestrian crossing line, a dead road, an oncoming vehicle, a pedestrian noncompliance with traffic regulations and an obstacle vehicle in a reverse direction, and the basic construction process of the scene library comprises the following steps:
firstly, taking drive test data, vehicle-mounted data and virtual data as sources to input and store scene sources;
secondly, constructing a scene library with hierarchy and planning through scene mining, scene classification and scene deduction modes;
and finally, applying the scene library to a scene testing link, wherein the link comprises a software ring, a hardware ring, a whole vehicle ring, a closed road and an open road.
Furthermore, the scene library covers the aspects of natural driving, dangerous working conditions, traffic accidents, man-machine driving data, road traffic interaction and real vehicle drive test data, and can provide data support for intelligent networked automobile technical research, product development, test verification, authentication management, demonstration area construction and industry standard and regulation research and formulation.
Further, the scene library can provide a training set and a testing set of scene data for target detection and tracking, scene understanding, semantic segmentation and an end-to-end learning algorithm in the aspect of environment perception.
The invention has the following advantages:
the test scene library of the automatic driving automobile test field is based on scene elements and driving behavior data, provides important support for design and optimization of intelligent driving decision logic, provides basis for reasonable control of vehicles by utilizing vehicle dynamics models and the like under different scene conditions in the aspect of cooperative control, plays a vital role in development, test, evaluation and other links of automatic driving automobile products in the research and development process of the automatic driving automobile, and can provide basis for design, construction and other aspects of a demonstration park.
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the present specification, the terms "upper", "lower", "left", "right", "middle", and the like are used for clarity of description, and are not intended to limit the scope of the present invention, and changes or modifications in the relative relationship may be made without substantial changes in the technical content.
The invention provides the technical scheme that:
a test scene library of an automatic driving automobile test field comprises a scene library, wherein the scene library comprises a following scene, pedestrian crosswalk lines, dead roads, oncoming vehicles, pedestrians who do not comply with traffic regulations and barrier vehicles which do not move backwards, and the basic construction process of the scene library comprises the following steps:
firstly, taking drive test data, vehicle-mounted data and virtual data as sources to input and store scene sources;
secondly, constructing a scene library with hierarchy and planning through scene mining, scene classification and scene deduction modes;
and finally, applying the scene library to a scene testing link, wherein the link comprises a software ring, a hardware ring, a whole vehicle ring, a closed road and an open road.
In the invention: the scene library covers the aspects of natural driving, dangerous working conditions, traffic accidents, man-machine driving data, road traffic interaction and real vehicle drive test data, can provide data support for intelligent internet automobile technology research, product development, test verification, authentication management, demonstration area construction and industry standard and regulation research and formulation, artificially inputs complex road scenes, and simulates related complex scenes through the possessed learning capacity to provide big data support for real-time monitoring of vehicles.
In the invention: the scene library can provide a training set and a testing set of scene data for target detection and tracking, scene understanding, semantic segmentation and end-to-end learning algorithms in the aspect of environment perception, the environment perception is interaction between a vehicle and external information in the driving process, the target detection and tracking scenes inform hidden danger factors around the vehicle in advance, driving safety is guaranteed, and the scene understanding is convenient for an automatic driving system of the vehicle to learn and understand complex road conditions.
Although the invention has been described in detail above with reference to a general description and specific examples, it will be apparent to one skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.
Claims (3)
1. The utility model provides an automatic drive car test field test scene storehouse, includes the scene storehouse, its characterized in that: the scene library comprises a following scene, pedestrian crosswalk lines, dead roads, oncoming vehicles, pedestrians which do not comply with traffic regulations and barrier vehicles which do go backwards, and the basic construction process of the scene library comprises the following steps:
firstly, taking drive test data, vehicle-mounted data and virtual data as sources to input and store scene sources;
secondly, constructing a scene library with hierarchy and planning through scene mining, scene classification and scene deduction modes;
and finally, applying the scene library to a scene testing link, wherein the link comprises a software ring, a hardware ring, a whole vehicle ring, a closed road and an open road.
2. The automated driving vehicle test yard test scenario library of claim 1, wherein: the scene library covers the aspects of natural driving, dangerous working conditions, traffic accidents, man-machine common driving data, road traffic interaction and real vehicle drive test data, and can provide data support for intelligent internet automobile technology research, product development, test verification, certification management, demonstration area construction and industry standard and regulation research and formulation.
3. The automated driving vehicle test yard test scenario library of claim 1, wherein: the scene library can provide a training set and a testing set of scene data for target detection and tracking, scene understanding, semantic segmentation and an end-to-end learning algorithm in the aspect of environmental perception.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202011423251.2A CN112541258A (en) | 2020-12-08 | 2020-12-08 | Test scene library of automatic driving automobile test field |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011423251.2A CN112541258A (en) | 2020-12-08 | 2020-12-08 | Test scene library of automatic driving automobile test field |
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| CN112541258A true CN112541258A (en) | 2021-03-23 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114579088A (en) * | 2021-12-31 | 2022-06-03 | 杭州宏景智驾科技有限公司 | Unmanned algorithm development method based on data mining and test closed loop |
| CN117708099A (en) * | 2024-02-05 | 2024-03-15 | 中国科学院自动化研究所 | Mine automatic driving perception capability test scene library construction method and test method |
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| CN111841012A (en) * | 2020-06-23 | 2020-10-30 | 北京航空航天大学 | Automatic driving simulation system and test resource library construction method thereof |
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2020
- 2020-12-08 CN CN202011423251.2A patent/CN112541258A/en active Pending
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| CN109358526A (en) * | 2018-10-15 | 2019-02-19 | 清华大学苏州汽车研究院（吴江） | The software of automatic Pilot tracking algorithm based on emulation is in ring test method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114579088A (en) * | 2021-12-31 | 2022-06-03 | 杭州宏景智驾科技有限公司 | Unmanned algorithm development method based on data mining and test closed loop |
| CN117708099A (en) * | 2024-02-05 | 2024-03-15 | 中国科学院自动化研究所 | Mine automatic driving perception capability test scene library construction method and test method |
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