What is it about?
Accounting for occlusion is crucial in camera sensor networks used for intrusion detection, particularly in barrier coverage. This work, for the first time, demonstrates the impact of occlusion on barrier coverage in camera sensor networks and introduces a graph-based method to determine the coverage status in the presence of both permeable and impermeable occluders. It also introduces two coverage metrics-coverage gap and vulnerability to assess exposure and susceptibility of the network.
Featured Image
Photo by Harrison Kugler on Unsplash
Why is it important?
This work presents a graph network–based assessment of barrier coverage that accounts for the effects of occluders in the presence of camera sensors. A novel two-graph approach is proposed to efficiently and intuitively handle both permeable and impermeable occluders, while generalizing to occluders of arbitrary shapes. This framework can assist researchers in effectively addressing occlusion-related challenges in coverage problems.
Perspectives
This paper proposes a method to assess barrier coverage for camera sensors when occluders are present. The approach can also guide researchers in studying the effects of occluders in other camera sensor coverage scenarios.
Amit Kumar
Ulsan National Institute of Science and Technology
Read the Original
This page is a summary of: Determination of Barrier Coverage in a UAV Network with Occluding Objects, Journal of Aerospace Information Systems, May 2025, American Institute of Aeronautics and Astronautics (AIAA),
DOI: 10.2514/1.i011553.
You can read the full text:
Contributors
The following have contributed to this page
