{"title":"A Survey of Path Planning Algorithms for Autonomous Vehicles","authors":"Ming Yu, Yanqiang Li, Zihui Zhang, Weiqi Yan","doi":"10.4271/02-14-01-0007","DOIUrl":null,"url":null,"abstract":". With the development of artificial intelligence (AI), autonomous vehicle technology has become a hot research spot in this era, which can effectively improve driving safety and greatly secure driver’s operations. As one of the key technologies for automated vehicles, planning a safe and highly effective path is the key premise and can guarantee for road safety. Therefore, it has a significant impact on academic research and commercial applications. In this paper, we take autonomous vehicles as our research theme, collect, summarize, compare and evaluate those state-of-the-art algorithms of path planning. Our ultimate goal is to create a novel path planning algorithm based on the unique characteristic of autonomous vehicles, explore and exploit its further value.","PeriodicalId":45281,"journal":{"name":"SAE International Journal of Commercial Vehicles","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2021-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SAE International Journal of Commercial Vehicles","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4271/02-14-01-0007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"TRANSPORTATION SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 5
Abstract
. With the development of artificial intelligence (AI), autonomous vehicle technology has become a hot research spot in this era, which can effectively improve driving safety and greatly secure driver’s operations. As one of the key technologies for automated vehicles, planning a safe and highly effective path is the key premise and can guarantee for road safety. Therefore, it has a significant impact on academic research and commercial applications. In this paper, we take autonomous vehicles as our research theme, collect, summarize, compare and evaluate those state-of-the-art algorithms of path planning. Our ultimate goal is to create a novel path planning algorithm based on the unique characteristic of autonomous vehicles, explore and exploit its further value.