Pedestrian Collision Avoidance in Autonomous Vehicles: A Review

Author:

Verstraete Timothé12,Muhammad Naveed1

Affiliation:

1. Institute of Computer Science, University of Tartu, Narva mnt 18, 51009 Tartu, Estonia

2. Institut National des Sciences Appliquées de Lyon, 20 Av. Albert Einstein, 69100 Villeurbanne, France

Abstract

Pedestrian collision avoidance is a crucial task in the development and democratization of autonomous vehicles. The aim of this review is to provide an accessible overview of the pedestrian collision avoidance systems in autonomous vehicles that have been proposed by the scientific community over the last ten years. For this purpose, we propose a classification of studies in the literature in terms of the following: (i) pedestrian detection methods, (ii) collision avoidance approaches, (iii) actions, (iv) computing methods, and (v) test methods.

Funder

European Social Fund

Publisher

MDPI AG

Reference55 articles.

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