文章基本信息

标题：A personalized path generation for an autonomous vehicle overtaking maneuver
本地全文：下载
作者：Benoit Vigne ; Rodolfo Orjuela ; Jean-Philippe Lauffenburger 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2022
卷号：55
期号：14
页码：107-112
DOI：10.1016/j.ifacol.2022.07.591
语种：English
出版社：Elsevier
摘要：AbstractThe acceptability by a population for new technology is conditioned by its benefits and its adaptability. While an autonomous vehicle could be a nice solution as an intelligent transportation system to decrease road crashes, traffic jams, etc., the choice of a driving style (relaxed/sporty) could be a good factor of adaptability. This study presents a method to optimize a local overtaking trajectory defined as a sigmoid function integrating constraints of comfort, safety, and path continuity. An only one driving style parameter allows obtaining different paths from smooth to tight shapes respecting previous constraints. Simulations of use cases show good performance of the developed algorithm.
关键词：Keywordsautonomous vehicledriving styleparameter optimizationovertaking maneuver