A New Cellular Vehicle-to-Everything Application: Daytime Visibility Detection and Prewarning on Expressways
Driving on an expressway is dangerous on a foggy day due to drivers’ inability to obtain visibility information in time. In this research, a new daytime visibility-detection method based on pixel contrast implemented in a prewarning system is proposed. The new visibility-detection method considers various interference factors on low-visibility foggy days and is easy to implement. In addition, a new convenient and safe camera-calibration method is proposed. The prewarning system is based on the low-latency cellular vehicle-to-everything (C-V2X) communication technology; it enables drivers to obtain low-visibility information in real time. The authors' experiment results prove that the output visibility-distance information obtained from the proposed method is more stable, smooth, and robust than that of other methods. Currently, the proposed C-V2X application has been implemented on a real expressway, and its actual operation shows a high detection accuracy and stable performance.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/19391390
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Supplemental Notes:
- Copyright © 2023, IEEE.
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Authors:
- Zhang, Changlong
- Li, Fan
- Ou, Jian
- Xie, Pengcheng
- Sheng, Weitian
- Publication Date: 2023-3
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References;
- Pagination: pp 85-98
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Serial:
- IEEE Intelligent Transportation Systems Magazine
- Volume: 15
- Issue Number: 2
- Publisher: Institute of Electrical and Electronics Engineers (IEEE)
- ISSN: 1939-1390
- Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5117645
Subject/Index Terms
- TRT Terms: Daylight; Detectors; Highway safety; Real time information; Vehicle to infrastructure communications; Visibility
- Geographic Terms: China
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01892239
- Record Type: Publication
- Files: TRIS
- Created Date: Sep 1 2023 3:26PM