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ID 118382
Author
Tsuji, Ryosuke Tokushima University
Keywords
Pedestrian
Bicycle detection
Driver assistance
Danger posed estimation
Content Type
Journal Article
Description
In this study, we propose a collision detection system by detecting and estimating the risk posed by pedestrians and bicycles in the images captured by a monocular onboard camera. In the proposed intrusion system. after initial detection, the pedestrians and bicycles are tracked to obtain their location, the direction of movement, and posture information using lane detection information, velocity calculation and, pose estimation respectively. Finally, this information is evaluated using fuzzy rules to estimate the risk the pedestrian and/or bicycle poses. The results are transmitted to the driver using voice and sound. We tested the system using 89 video scenes and achieved recall and precision accuracies of 0.94 and 0.87 respectively.
Journal Title
International Journal of Intelligent Transportation Systems Research
ISSN
13488503
18688659
Publisher
Springer Nature
Volume
20
Issue
3
Start Page
768
End Page
777
Published Date
2022-09-13
Remark
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Natureʼs AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s13177-022-00324-2
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DOI (Published Version)
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language
eng
TextVersion
Author
departments
Science and Technology