Continuous Curvature Turns Based Method for Least Maximum Curvature Path Generation of Autonomous Vehicle

Yu Tian, Zhang Chen, Chuanyi Xue, Yiyong Sun, Bin Liang

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

Safe driving and stable paths are essential for the autonomous vehicle navigation, that large and fast steering angle should be avoided. This paper addresses a local path generation problem for autonomous vehicles while the least maximum curvature and the shortest length are obtained with limited curvature rate. The properties of the novel feasible paths based on continuous curvature turns are investigated. And a simple and fast computational method is presented to solve the problem by iterative procedure. The simulation in this paper shows that, compared with recent researches, the performance of least maximum curvature and shortest length is obtained by the novel local path planner, and the driving behavior is closer to the human driver operation.

源语言英语
主期刊名IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society
出版商IEEE Computer Society
ISBN(电子版)9781665435543
DOI
出版状态已出版 - 13 10月 2021
已对外发布
活动47th Annual Conference of the IEEE Industrial Electronics Society, IECON 2021 - Toronto, 加拿大
期限: 13 10月 202116 10月 2021

出版系列

姓名IECON Proceedings (Industrial Electronics Conference)
2021-October

会议

会议47th Annual Conference of the IEEE Industrial Electronics Society, IECON 2021
国家/地区加拿大
Toronto
时期13/10/2116/10/21

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