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

• Published in: IEEE transactions on intelligent transportation systems Vol. 21; no. 3; pp. 900 - 918
• Main Authors: Rasouli, Amir, Tsotsos, John K.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-03-2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Automobiles; Autonomous cars; Autonomous vehicles; Cameras; Demographics; Driving; Identification methods; Observers; pedestrian behavior; Pedestrians; Roads; survey; Surveying; traffic interaction; Urban environments; Visual perception; Visual perception driven algorithms
• ISSN: 1524-9050; 1558-0016
• DOI: 10.1109/TITS.2019.2901817

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, we 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, we will discuss various methods of studying pedestrian behavior and analyze how the factors identified in the literature are interrelated. We 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 our findings, we will discuss the open problems and propose future research directions.