Blind Spot Coverage Control for Mobile Visual Sensor Networks in a Parking Lot

Abstract

This paper investigates blind spot coverage control for mobile visual sensor networks in a parking lot. First, a blind spot is defined as an area that is not captured by stationary monitoring cameras. Then, to cover the blind spot, mobile visual sensor agents receive the blind spot information from a server, and move to the target positions determined by their coverage rates. In this setting, we present a velocity-dependent Voronoi-based cut-in approach that guarantees global optimality and collision avoidance. Furthermore, the trade-off between transient optimality and convergence rate is analyzed. Finally, the effectiveness of this approach is demonstrated through numerical simulations.