Processing of complex traffic scenes for effective steering and collision avoidance: a perspective, from research into human control, on the challenges for sensor-based autonomous vehicles on urban roads

An overview is provided of behavioral research into human steering and collision avoidance including the processing of optic flow, optical looming and the role of the human mobile gaze system. A consideration is then made of the issues that may occur for autonomous vehicles (AV) when they move from...

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Published inFrontiers in psychology Vol. 15; p. 1347309
Main Author Wann, John P
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 05.03.2024
Subjects
automobile
collision
neuroscience
Psychology
self-driving
steering
vision
automobile
collision
vision
self-driving
neuroscience
steering
cycling
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Summary:An overview is provided of behavioral research into human steering and collision avoidance including the processing of optic flow, optical looming and the role of the human mobile gaze system. A consideration is then made of the issues that may occur for autonomous vehicles (AV) when they move from grid-type road networks into complex inner-city streets and interact with human drivers, pedestrians and cyclists. Comparisons between human processing and AV processing of these interactions are made. This raises issues as to whether AV control systems need to mimic human visual processing more closely and highlights the need for AV systems to develop a "theory of road users" that allows attribution of intent to other drivers, cyclists or pedestrians. Guidelines for the development of a "theory of road users" for AVs are suggested.
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Edited by: Shaohua Liu, Beijing University of Posts and Telecommunications (BUPT), China
Reviewed by: Thomas A. Stoffregen, University of Minnesota Twin Cities, United States
ISSN:1664-1078
1664-1078
DOI:10.3389/fpsyg.2024.1347309