Research on active obstacle detection system based on AI Vision and LiDAR data fusion technology
With the increasing demand for improving the efficiency of metro operations,more and more metro lines are adopting the fully automated operation(FAO)mode.The introduction of the FAO system has made traditional passive obstacle detection methods unable to meet the development needs of the industry.Therefore,active obstacle detection system for trains have emerged.This article focuses on a mainstream train active obstacle detection system in the contemporary industry.Through in-depth analysis of its system architecture,network topology,system functions,and key technical indicators,the article focuses on the research of the relevant working principles such as artificial intelligence(AI)vision and laser radar data fusion technology,millimeter wave radar technology,and clearance judgment and detection technology that the system relies on,and the application technical difficulties confronted in the actual application,thereby further explores the broad application prospect of this technology in Wuxi metro and other urban metro systems.
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