Software Technology Research
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2781-2784,2791

Ball tree optimized automatic driving simulation test scenario generation method

Qin Qin
Gu Wenjun
School of Intelligent Manufacturing & Control Engineering, Shanghai Polytechnic University, Shanghai 201209, China

Abstract

The scenario-based simulation test method can effectively accelerate the test process of autonomous vehicles, but the traditional sampling method cannot maintain high efficiency in the face of high-dimensional sampling space. This paper proposed a ball tree optimized simulation test scene sampling method. And based on the Carla simulator, it built a simulation test scenario automatic generation framework to verify the effectiveness of the algorithm. The proposed method used the random sampling method, the nearest neighbor sampling method based on the KD tree structure and the nearest neighbor sampling method based on the ball tree structure to sample scene parameters and generated extreme weather simulation test scenarios for verification. Finally, the results show that the proposed method increases by 11.38 times in scene production speed by comparing the simulation process with the manual method and show that the scene generation speed has increased by 27.97% by comparing that with the KD tree structure sampling method.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.12.0818
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 9
Section: Software Technology Research
Pages: 2781-2784,2791
Serial Number: 1001-3695(2023)09-034-2781-04

Publish History

[2023-03-14] Accepted Paper
[2023-09-05] Printed Article

Cite This Article

秦琴, 谷文军. ball tree优化的自动驾驶仿真测试场景生成方法 [J]. 计算机应用研究, 2023, 40 (9): 2781-2784,2791. (Qin Qin, Gu Wenjun. Ball tree optimized automatic driving simulation test scenario generation method [J]. Application Research of Computers, 2023, 40 (9): 2781-2784,2791. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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