Evaluation Method for Road Area Coverage of Roadside Surveillance Cameras

Abstract

As the number of surveillance cameras has increased rapidly, the issues of coverage blindness, coverage overlap and lack of vision resulting from an irrational surveillance layout have become increasingly prominent. This has led to a waste of resources and a reduction in surveillance quality. The conventional methodology for evaluating road coverage is inadequate for accurately assessing the actual monitoring capacity of the camera. In light of the aforementioned issues, this paper puts forth a novel road coverage assessment method based on the monitoring camera perception model. This approach integrates the monitoring coverage calculation methods in two-dimensional and three-dimensional spatial dimensions, considers road coverage under both single and multiple monitoring deployment scenarios, and employs GIS spatial analysis technology to achieve a comprehensive assessment of the monitoring camera network coverage. The findings demonstrate that the proposed methodology is capable of accurately calculating the coverage of surveillance cameras under diverse pitch angles and the extent of duplicate coverage areas in multi-camera deployments. It enhances the overall coverage and precision of the surveillance network, and provides a scientific foundation and practical guidance for the design and planning of road surveillance networks.