Universal high-definition map drawing based on Open Drive virtual and real test

Xiao Zhang; Jiankuan Fu; Fengjiao Wang; Yunliang Huang; Shuai Zhao

doi:10.1117/12.2643468

9 October 2022 Universal high-definition map drawing based on Open Drive virtual and real test

Xiao Zhang, Jiankuan Fu, Fengjiao Wang, Yunliang Huang, Shuai Zhao

Proceedings Volume 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022); 1224617 (2022) https://doi.org/10.1117/12.2643468
Event: 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 2022, Qingdao, China

Abstract

The test methods of autonomous driving are mainly divided into SIL, MIL, VIL, real vehicle test, etc.; the scenario-based virtual simulation verification method has huge technical advantages in test coverage, test repeatability, test safety, etc., and is an effective method for future autonomous driving function test verification. With the improvement of technology and demand, autonomous driving developers have gradually increased their investment in simulation testing. How to evaluate the comparison between simulation test results and actual test authenticity is a major challenge for autonomous driving. The high-definition map software used in this paper can realize intelligent lane fitting and fast connection, and realize fast and smooth connection in advance while ensuring the consistency between the edited road network and the actual environment. By collecting real scene maps, a high-definition map conforming to the Open Drive format that can be used in real vehicles and simulations is generated, which solves the problem of common use of lane-level high-definition maps in intelligent driving vehicle testing and simulation testing.

Citation Download Citation

Xiao Zhang, Jiankuan Fu, Fengjiao Wang, Yunliang Huang, and Shuai Zhao "Universal high-definition map drawing based on Open Drive virtual and real test", Proc. SPIE 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 1224617 (9 October 2022); https://doi.org/10.1117/12.2643468

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