自动驾驶汽车路径规划算法综述

IF 0.6 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY
Ming Yu, Yanqiang Li, Zihui Zhang, Weiqi Yan
{"title":"自动驾驶汽车路径规划算法综述","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":"{\"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}","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

摘要

. 随着人工智能(AI)的发展,自动驾驶汽车技术已经成为这个时代的研究热点,它可以有效地提高驾驶安全性,极大地保障驾驶员的操作。作为自动驾驶汽车的关键技术之一,规划一条安全高效的路径是保证道路安全的关键前提和保障。因此,它对学术研究和商业应用都有重大影响。本文以自动驾驶汽车为研究主题,对目前最先进的路径规划算法进行了收集、总结、比较和评价。我们的最终目标是基于自动驾驶汽车的独特特性,创建一种新的路径规划算法,并探索和利用其进一步的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Survey of Path Planning Algorithms for Autonomous Vehicles
. 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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
SAE International Journal of Commercial Vehicles
SAE International Journal of Commercial Vehicles TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
1.80
自引率
0.00%
发文量
25
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信