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Design of Vehicle Roof-mounted Multi-functional Video Perception and Warning System

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DOI: 10.23977/cpcs.2023.070107 | Downloads: 20 | Views: 490


Jiawei Zhao 1, Ruikang Wang 2, Yiming Hao 1, Hongxiang Yin 3, Zhongjia Ma 2


1 School of Transportation, Jilin University, Changchun, Jilin, China
2 School of Automotive Engineering, Jilin University, Changchun, Jilin, China
3 School of Materials Science and Engineering, Jilin University, Changchun, Jilin, China

Corresponding Author

Jiawei Zhao


A multi-functional video perception and warning system based on vehicle roof-mounted cameras can analyze images captured by the cameras in real time, achieving information fusion, route suggestion, and visual enhancement functions, improving driving safety and experience. The system is developed based on edge computing devices, with no requirements for whole vehicle configuration, low threshold, and easy to promote. The system innovatively increases the height of traffic information acquisition, obtaining source advantages, and making long-distance result analysis possible. Combining these features, more system functions can be developed, such as route selection, live streaming, and visual enhancement. The project solves key issues such as designing and perfecting the mechanical structure for controlling the stable lifting and rotation of the roof-mounted camera, automating the control of the robotic arm in combination with real-world scenarios to achieve long-distance route selection, real-time operation of target detection and route recommendation algorithms on low-power devices, adjusting adaptively to different weather and road conditions, and designing software for automatic and manual control interaction between the roof-mounted camera.


Roof-mounted Camera, Multi-Functional Video Perception, Route Suggestion, Driving Safety, Edge Computing, Lightweight, YOLOv8, Ultra Fast Deep Lane


Jiawei Zhao, Ruikang Wang, Yiming Hao, Hongxiang Yin, Zhongjia Ma, Design of Vehicle Roof-mounted Multi-functional Video Perception and Warning System. Computing, Performance and Communication Systems (2023) Vol. 7: 56-65. DOI:


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