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This research aims to improve UAV surveillance in urban environments by maximizing coverage and information recency.

January 1, 2009

Autonomous UAV Surveillance in Complex Urban Environments

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This research aims to improve UAV surveillance in urban environments by maximizing coverage and information recency.
Developed an occlusion-aware surveillance algorithm incorporating 3D art gallery and traveling salesman problems.
Evaluated the algorithm in a high-fidelity UAV simulation (AgentFly) that models environmental constraints.
Considered realistic UAV motion and sensing constraints, particularly for narrow streets.
The algorithm significantly enhanced coverage in complex urban environments with occlusions.
Demonstrated improved flight path planning in areas with narrow streets and low UAVs altitudes.
Results highlight the critical role of considering occlusions in UAV flight strategies.

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Randomized trial evaluates an occlusion-aware UAV algorithm, enhancing surveillance in urban settings, suggesting improved coverage.

Semsch et al. (2009) studied this question.

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