What is it about?
This work investigates the impact of occluders on UAV-based barrier coverage using vision sensors, analyzing both impermeable and permeable occluders through graph-based methods. It proposes optimization formulations to ensure effective barrier coverage and validate the approach through simulations.
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Why is it important?
Understanding the impact of occluders on UAV-based barrier coverage is crucial to ensure reliable detection and prevent false coverage assumptions in vision-based surveillance applications.
Perspectives
This work offers a valuable contribution by addressing the often-overlooked impact of occluders in UAV-based barrier coverage, providing a practical and generalizable framework for improving coverage reliability and efficiency.
Amit Kumar
Ulsan National Institute of Science and Technology
Read the Original
This page is a summary of: Assessing Barrier Coverage of a UAV Network in the Presence of Occluding Objects, January 2025, American Institute of Aeronautics and Astronautics (AIAA),
DOI: 10.2514/6.2025-2608.
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