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