A Survey of Path Planning Algorithms for Autonomous Vehicles

IF 0.6 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY SAE International Journal of Commercial Vehicles Pub Date : 2021-01-24 DOI:10.4271/02-14-01-0007
Ming Yu, Yanqiang Li, Zihui Zhang, Weiqi Yan
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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.
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自动驾驶汽车路径规划算法综述
. 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。
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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
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