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Intelligent automobile visual sensor testing method based on site testing technology

A visual sensor and testing technology, applied in instruments, measuring devices, re-radiation of sound waves, etc., can solve problems such as lack of visual perception level testing and inability to fully simulate real situations.

Pending Publication Date: 2021-01-15
中汽院智能网联科技有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the Hardware-in-the-Loop (HIL) black box test system for visual sensors can only be tested in a virtual environment and cannot fully simulate the real situation; for the most commonly used visual sensor itself , there is a lack of visual perception tests in actual venues

Method used

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  • Intelligent automobile visual sensor testing method based on site testing technology
  • Intelligent automobile visual sensor testing method based on site testing technology
  • Intelligent automobile visual sensor testing method based on site testing technology

Examples

Experimental program
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Effect test

Embodiment 1

[0075] A kind of smart car visual sensor testing method based on field test technology of the present embodiment comprises the following steps:

[0076] S1. Setting the visual sensor perception ability test evaluation parameters;

[0077] As shown in Table 1, it includes test evaluation parameters of lane lines and lane markings, road edge test evaluation parameters, signage test evaluation parameters, vehicle target test evaluation parameters, traffic vulnerable groups test evaluation parameters and traffic signal light test evaluation parameters. Among them, traffic vulnerable groups (VRU: Vulnerable Road Users) mainly refer to pedestrians, bicycles, motorcycles, battery cars and other vulnerable traffic participants compared to cars.

[0078] Table 1

[0079]

[0080]

[0081] S2. Build a closed field test environment;

[0082] The length of the test site is greater than 1.2km, and the width is greater than 20m; in order to conduct high-speed driving tests and simul...

Embodiment 2

[0150] The difference between this embodiment and Embodiment 1 is that, in this embodiment, S309 is also included, and a first simulation device and a second simulation device are also included. The first simulation device includes a simulation box, a smoke generator, a first fan, a second fan, a controller and a communication module. The front side wall and the rear side wall of the simulation box are transparent, the left side wall and the right side wall of the simulation box are provided with fan holes, and the first fan and the second fan are respectively fixed on the fan holes of the left side wall and the right side wall. The structure of the second simulation device is exactly the same as that of the first simulation device. The first simulation device is fixed in front of the video recording equipment, and the camera lens of the equipment recording equipment is aimed at the rear side wall of the simulation box of the first simulation device;

[0151] The second simul...

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Abstract

The invention relates to the technical field of vehicle testing, and particularly discloses an intelligent automobile visual sensor testing method based on a site testing technology, which comprises the following steps: S1, setting visual sensor perception capability testing evaluation parameters; S2, building a closed site test environment; setting test equipment in the test field; wherein the test equipment is used for recording the motion state, the target object parameters and the video data in the test process; S3, carrying out testing in the built closed field, and carrying out time synchronization and format synchronization on the vehicle motion state, wherein the target object parameters and the video data recorded in the testing process to serve as test true values; and S4, obtaining a measurement value from the visual sensor to be measured, performing time synchronization and format synchronization on the measurement value, judging whether the measurement of the visual sensoris accurate or not based on the test true value and the measurement value after time synchronization and format synchronization, and outputting a judgment result. By adopting the technical scheme, the recognition accuracy of the visual sensor can be effectively judged.

Description

technical field [0001] The invention relates to the technical field of vehicle testing, in particular to a testing method for an intelligent vehicle visual sensor based on field testing technology. Background technique [0002] Smart cars can rely on their own vision, radar, lidar and other sensors to perceive the vehicle environment and vehicle status information, realize comprehensive and accurate perception of the surrounding environment of the vehicle, and further realize vehicle path planning and automatic driving. [0003] For safety considerations, it is necessary to test the automatic driving system and the driving assistance system, etc., but the current testing methods are mostly based on the simulation technology-based vehicle system-level function and control strategy verification, and the smart car based on the real vehicle intelligence. System function and performance verification. [0004] However, the Hardware-in-the-Loop (HIL) black box test system for visu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S15/931G01S15/86G01S17/931G01S17/86
CPCG01S15/931G01S15/86G01S17/931G01S17/86
Inventor 杨良义陈涛张强李林赵树廉陈龙李朝斌王芳邢春鸿唐宇姜莽
Owner 中汽院智能网联科技有限公司
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