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Accident detection in traffic surveillance using a fusion network based on temporal attention

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Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Ahead of Print.
Timely detection of traffic accidents is crucial for enabling rapid emergency response and minimizing road disruptions. Existing surveillance systems often struggle with accurate classification in complex environments due to limitations in processing ...