Analysis of the Field of View for Road Scene Monitoring Using on Mobile LiDAR

Abstract

To address the issue of blind spots in road video surveillance systems, this paper proposes a field-of-view analysis method based on the GPU-Raycast algorithm. A spherical frustum model was constructed to simulate the field of view of surveillance cameras. By utilizing the GPU-Raycast algorithm and employing a strategy combining coarse and fine detection, the method efficiently calculates the coverage of the surveillance field of view within a three-dimensional scene. The experimental results show that, this research enables effective evaluation of the surveillance system’s visibility status and holds significant theoretical and practical value for enhancing the management and safety of urban road traffic.