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Automotive Innovation ›› 2019, Vol. 2 ›› Issue (4): 241-253.doi: 10.1007/s42154-019-00081-1

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Driving Space for Autonomous Vehicles

Diange Yang, Xinyu Jiao, Kun Jiang, Zhong Cao   

  1. State Key Laboratory of Automotive Safety and Energy, Department of Automotive Engineering, Collaborative Innovation Center of Intelligent New Energy Vehicle, Tsinghua University, Beijing, China
  • Online:2019-12-17 Published:2019-12-16

Abstract:

Driving space for autonomous vehicles (AVs) is a simplified representation of real driving environments that helps facilitate driving decision processes. Existing literatures present numerous methods for constructing driving spaces, which is a fundamental step in AV development. This study reviews the existing researches to gain a more systematic understanding of driving space and focuses on two questions: how to reconstruct the driving environment, and how to make driving decisions within the constructed driving space. Furthermore, the advantages and disadvantages of different types of driving space are analyzed. The study provides further understanding of the relationship between perception and decision-making and gives insight into direction of future research on driving space of AVs.

Key words: font-family:", Autonomous vehicle, Driving space, Drivable area, Environment perception, Autonomous vehicle decision ')">">Autonomous vehicle, Driving space, Drivable area, Environment perception, Autonomous vehicle decision ,