Autonomous Vehicles that Interact with Pedestrians: A Survey of Theory and Practice
May 30, 2018 ยท Declared Dead ยท ๐ IEEE transactions on intelligent transportation systems (Print)
"No code URL or promise found in abstract"
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Authors
Amir Rasouli, John K. Tsotsos
arXiv ID
1805.11773
Category
cs.RO: Robotics
Cross-listed
cs.CV,
cs.HC
Citations
699
Venue
IEEE transactions on intelligent transportation systems (Print)
Last Checked
1 month ago
Abstract
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 the vehicles and pedestrians as 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, etc. 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.
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