Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys
arXiv:2303.17220 · doi:10.1109/TIV.2022.3223131
Abstract
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.
13 pages, 3 tables, 0 figure
References in corpus (7)
- Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives
- A Review on Energy, Environmental, and Sustainability Implications of Connected and Automated Vehicles
- One Million Scenes for Autonomous Driving: ONCE Dataset
- A Commute in Data: The comma2k19 Dataset
- Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies
- PandaSet: Advanced Sensor Suite Dataset for Autonomous Driving
- LiDAR Odometry Methodologies for Autonomous Driving: A Survey
Cited by in corpus (5)
- Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives
- Milestones in Autonomous Driving and Intelligent Vehicles Part I: Control, Computing System Design, Communication, HD Map, Testing, and Human Behaviors
- Railway Virtual Coupling: A Survey of Emerging Control Techniques
- Compensating for Sensing Failures via Delegation in Human-AI Hybrid Systems
- Scenarios Engineering driven Autonomous Transportation in Open-Pit Mines