A Survey of Autonomous Driving: Common Practices and Emerging Technologies
Обзор автономного вождения: общепринятые практики и новые технологии
2020-01-01
SCID: 54.1/merdhr2v
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automated driving systemsautonomous drivinglocalization and mappingperception and planningstate-of-the-art algorithms
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Abstract (AI)
Automated driving systems (ADSs) promise a safe, comfortable and efficient driving experience. However, fatalities involving vehicles equipped with ADSs are on the rise. The full potential of ADSs cannot be realized unless the robustness of state-of-the-art is improved further. This paper discusses unsolved problems and surveys the technical aspect of automated driving. Studies regarding present challenges, high-level system architectures, emerging methodologies and core functions including localization, mapping, perception, planning, and human machine interfaces, were thoroughly reviewed. Furthermore, many state-of-the-art algorithms were implemented and compared on our own platform in a real-world driving setting. The paper concludes with an overview of available datasets and tools for ADS development.
Key Findings
1
Automated driving systems promise safer, more comfortable, and more efficient transportation, but fatalities involving ADS-equipped vehicles are increasing.
2
It reviews unresolved challenges, system architectures, emerging methodologies, and core functions including localization, mapping, perception, planning, and human–machine interfaces.
3
Numerous state-of-the-art algorithms were implemented and compared on the authors’ platform in real-world driving conditions.
4
The paper summarizes available datasets and development tools for automated driving systems.
5
The survey identifies robustness limitations in state-of-the-art automated driving systems as a major barrier to realizing their full potential.
Research Object
Automated driving systems (ADSs)
Research Subject
technical challenges, architectures, methodologies, core functions, algorithms, datasets, and tools for improving the robustness and development of ADSs
Publication Details
Publication Date
2020-01-01
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