Real-Time High-Precision Detection of Vehicle Trajectories Using DASOA
Real-Time High-Precision Detection of Vehicle Trajectories Using DAS
Huijuan WU;Zhichao WANG;Yuanyuan SONG;Anjie SUN;Chenhui HUANG;Shibo HAN;Yu WU;Yunjiang RAO
Key Laboratory of Optical Fiber Sensing & Communications(Ministry of Education of the People's Republic of China),University of Electronic Science and Technology of China,Chengdu 611731,ChinaKey Laboratory of Optical Fiber Sensing & Communications(Ministry of Education of the People's Republic of China),University of Electronic Science and Technology of China,Chengdu 611731,ChinaKey Laboratory of Optical Fiber Sensing & Communications(Ministry of Education of the People's Republic of China),University of Electronic Science and Technology of China,Chengdu 611731,ChinaKey Laboratory of Optical Fiber Sensing & Communications(Ministry of Education of the People's Republic of China),University of Electronic Science and Technology of China,Chengdu 611731,ChinaKey Laboratory of Optical Fiber Sensing & Communications(Ministry of Education of the People's Republic of China),University of Electronic Science and Technology of China,Chengdu 611731,ChinaKey Laboratory of Optical Fiber Sensing & Communications(Ministry of Education of the People's Republic of China),University of Electronic Science and Technology of China,Chengdu 611731,ChinaKey Laboratory of Optical Fiber Sensing & Communications(Ministry of Education of the People's Republic of China),University of Electronic Science and Technology of China,Chengdu 611731,ChinaKey Laboratory of Optical Fiber Sensing & Communications(Ministry of Education of the People's Republic of China),University of Electronic Science and Technology of China,Chengdu 611731,China
DAStraffic monitoringvehicle trajectory extractionspeed estimation
DAStraffic monitoringvehicle trajectory extractionspeed estimation
《光子传感器（英文版）》 2026 (1)
42-54,13
This work is supported by the National Natural Science Foundation of China(Grant Nos.62575055 and U21A20453),and supported by the Sichuan Regional Innovation Cooperation Project(Grant No.2026YFHZ0141).
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