Autonomous Vehicles That Interact With Pedestrians: A Survey of Theory and Practice

One of the major challenges that autonomous cars are facing today is driving in urban environments. To make it a reality, autonomous vehicles require the ability to communicate with other road users and understand their intentions. Such interactions are essential between vehicles and pedestrians, the most vulnerable road users. Understanding pedestrian behavior, however, is not intuitive and depends on various factors, such as demographics of the pedestrians, traffic dynamics, environmental conditions, and so on. In this paper, they identify these factors by surveying pedestrian behavior studies, both the classical works on pedestrian–driver interaction and the modern ones that involve autonomous vehicles. To this end, the authors will discuss various methods of studying pedestrian behavior and analyze how the factors identified in the literature are interrelated. The authors will also review the practical applications aimed at solving the interaction problem, including design approaches for autonomous vehicles that communicate with pedestrians and visual perception and reasoning algorithms tailored to understanding pedestrian intention. Based on their findings, the authors will discuss the open problems and propose future research directions.

• Record URL:
  https://doi.org/10.1109/TITS.2019.2901817
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
• Supplemental Notes:
  • Copyright © 2020, IEEE.
• Authors:
  • Rasouli, Amir
  • Tsotsos, John K
• Publication Date: 2020

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References;
• Pagination: pp 900-918
• Serial:
  • IEEE Transactions on Intelligent Transportation Systems
  • Volume: 21
  • Issue Number: 3
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1524-9050
  • Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Behavior; Literature reviews; Pedestrian detectors; Pedestrian vehicle interface; Pedestrians
• Subject Areas: Data and Information Technology; Highways; Pedestrians and Bicyclists; Planning and Forecasting; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01737758
• Record Type: Publication
• Files: TLIB, TRIS
• Created Date: Apr 24 2020 5:29PM