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3 October 2022 Research on autopilot test method based on data playback
Fengjiao Wang, Zhigang Jin, Jiankuan Fu, Jinliang Li
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Proceedings Volume 12290, International Conference on Computer Network Security and Software Engineering (CNSSE 2022); 122900U (2022) https://doi.org/10.1117/12.2640730
Event: International Conference on Computer Network Security and Software Engineering (CNSSE 2022), 2022, Zhuhai, China
Abstract
With the continuous growth of autonomous driving technology, autonomous driving testing puts forward higher requirements in terms of comprehensiveness, authenticity, and efficiency, and traditional road testing can no longer guarantee the testing requirements. The actual traffic scene in my country is relatively complex, which is quite different from the standard traffic scene and data in the simulation software. The simulation scene test cannot meet the accuracy requirements of my country's road test. In view of the characteristics of road testing and simulation testing, this paper proposes an automatic driving test method based on actual road scene data playback. The main test process is to use the vehicle equipped with the automatic driving system to collect the actual road scene, and then classify, identify and save the collected scene, finally complete the function and performance test of the combination of virtual and real automatic driving through the real-time playback of the scene data. The test method uses real scene data for simulation test, which improves the efficiency, repeatability and safety of the test, and meets the high-precision requirements of the test to a certain extent.
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Fengjiao Wang, Zhigang Jin, Jiankuan Fu, and Jinliang Li "Research on autopilot test method based on data playback", Proc. SPIE 12290, International Conference on Computer Network Security and Software Engineering (CNSSE 2022), 122900U (3 October 2022); https://doi.org/10.1117/12.2640730
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KEYWORDS
Roads
Computer simulations
Sensors
Signal processing
Data processing
Data storage
Digital recording
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