articleIEEE AccessJan 1, 2020GOLD OA

A Survey of Autonomous Driving: Common Practices and Emerging Technologies

Nagoya University

Indexed inarxivcrossrefdoaj

Abstract

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…

Citation impact

1,706
total citations
FWCI
85.37
Percentile
100%
References
356
Citations per year

Authors

4

Topics & keywords

Keywords
  • Robustness (evolution)
  • Computer science
  • Perception
  • Emerging technologies
  • Data science
  • Systems engineering
  • Human–computer interaction
  • Artificial intelligence
UN Sustainable Development Goals
  • Sustainable cities and communities
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