Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys
By Long Chen, Yuchen Li, Chao Huang, Bai Li, Yang Xing, Daxin Tian, Li Li, Zhongxu Hu, X. Na, Zixuan Li and 6 more. IEEE Transactions on Intelligent Vehicles, 2023
489 citations recorded by the source corpus.
Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace due to the convenience, safety, and economic benefits. Although a number of surveys have reviewed research achievements in this field, they are still limited in specific tasks, lack of systematic summary and research directions in the future. Here we propose a Survey of Surveys (SoS) for total technologies of AD and IVs that reviews the history, summarizes the milestones, and provides the perspectives, ethics, and future research directions. To our knowledge, this article is the first SoS with milestones in AD and IVs, which constitutes our complete research work together with two other technical surveys. We anticipate that this article will bring novel and diverse insights to researchers and abecedarians, and serve as a bridge between past and future.
Subfields: Automotive Engineering, Safety Research, Social Psychology
View Paper: https://www.semanticscholar.org/paper/2842933f5f97d5c3a85f31f08e79a771070b1ac0
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Citations in the corpus
- A Survey on Multimodal Large Language Models for Autonomous Driving (2023, background): “With such improvements, More L1 to L2 level Advanced Driver Assistance Systems (ADAS) like lane centering and adaptive cruise control are now available on everyday vehicles [11,21].”
- Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives (2023, background): “advances in artificial intelligence and computer hardware [2].”