Distributed surveillance by a swarm of UAVs operating under positional uncertainty

Abstract

This article proposes a collaborative control framework for an autonomous aerial swarm tasked with the surveillance of a convex region of interest. Each Mobile Aerial Agent (MAA) is equipped with a Pan-Tilt-Zoom (PTZ) camera of conical FOV and suffers from sensor-induced positional uncertainty. By utilizing a Voronoi-free tessellation strategy and a gradient scheme, the heterogeneous swarm self-organizes in a distributed manner to monotonically achieve optimal collective visual coverage of the region of interest, both in terms of quality and total area. Simulation studies are offered to investigate the effectiveness of the suggested scheme.