Rapid cross-platform tracking via highway traffic radar and elevated surveillance video
Hengkun Li, Pinhao Song, Haipeng Nan, Xuan Lv, Haolin Xu · IET conference proceedings. · 2026
This study addresses the growing demand for intelligent highway development by proposing a rapid event detection and vehicle tracking method based on the cross-platform integration of traffic radar and elevated surveillance video. Through multi-source data fusion, coordinate transformation, and target feature extraction, the system enables cross-platform collaboration and multimodal perception. The method was validated on the Baoshan section of the Jingha Expressway, and results demonstrate a significant improvement in surveillance coverage and event response efficiency, providing effective technical support for coordinated highway policing and management.