CyclingNet: Detecting cycling near misses from video streams in complex urban scenes with deep learning

Abstract Cycling is a promising sustainable mode for commuting and leisure in cities. However, the perception of cycling as a risky activity reduces its wide expansion as a commuting mode. A novel method called CyclingNet has been introduced here for detecting cycling near misses from video streams...

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Bibliographic Details
Main Authors: Mohamed R. Ibrahim, James Haworth, Nicola Christie, Tao Cheng
Format: Article
Language:English
Published: Wiley 2021-10-01
Series:IET Intelligent Transport Systems
Subjects:
Online Access:https://doi.org/10.1049/itr2.12101

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