Obstacle Detection Method Based on RSU and Vehicle Camera Fusion.

Ding, Shaohong; Xu, Yi; Zhang, Qian; Yu, Jinxin; Sun, Teng; Ni, Juan; Shi, Shuyue; Kong, Xiangcun; Zhu, Ruoyu; Wang, Liming; Wang, Pengwei

Ding, Shaohong; Xu, Yi; Zhang, Qian; Yu, Jinxin; Sun, Teng; Ni, Juan; Shi, Shuyue; Kong, Xiangcun; Zhu, Ruoyu; Wang, Liming; Wang, Pengwei.

Affiliation

Ding S; School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China.
Xu Y; School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China.
Zhang Q; Collaborative Innovation Center of New Energy Automotive, Shandong University of Technology, Zibo 255000, China.
Yu J; Jinan Engineering Polytechnic, Jinan 250200, China.
Sun T; School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China.
Ni J; School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China.
Shi S; School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China.
Kong X; School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China.
Zhu R; School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China.
Wang L; School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China.
Wang P; School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China.

Sensors (Basel) ; 23(10)2023 May 19.

Article in En | MEDLINE | ID: mdl-37430834

Key words

User Data Protocol; inertial measuring unit; maximally stable extremal regions; obstacle detection; road-side unit

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: Sensors (Basel) Year: 2023 Type: Article Affiliation country: China

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