Early warning of pedestrians and cyclists
Joerg Christian Wolf

TL;DR
This paper presents an early warning system for pedestrians and cyclists, aiming to give drivers more reaction time by predicting pedestrian intentions, despite the difficulty of reliable intention prediction based solely on position.
Contribution
It introduces a demonstration system for early pedestrian warning that addresses the challenge of intention prediction based on position data.
Findings
Developed a prototype warning system
Identified the difficulty of intention prediction from position alone
Demonstrated potential for early pedestrian warning
Abstract
State-of-the-art motor vehicles are able to break for pedestrians in an emergency. We investigate what it would take to issue an early warning to the driver so he/she has time to react. We have identified that predicting the intention of a pedestrian reliably by position is a particularly hard challenge. This paper describes an early pedestrian warning demonstration system.
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Taxonomy
TopicsAnomaly Detection Techniques and Applications · Autonomous Vehicle Technology and Safety · Evacuation and Crowd Dynamics
