Distributed coverage control for mobile robots with limited-range sector sensors

Multi-Camera Networks for Coverage Control of Drones

“…It offers many potential civil applications, inspiring scientists to undertake the development of new algorithms to automate UAV systems. Employing multiple unmanned multirotors (MUMs) [1][2][3][4][5][6][7][8] is rapidly becoming possible due to the development of computer hardware and communication technology. The use of UAVs is advantageous when compared to a single one.…”

“…Here, the Voronoi algorithm is a decentralized iterative scheme to partition a 2D plane into several cells. Thereafter, the coverage problem received greater attention and many methods [4,[14][15][16] have been proposed. Here, we give several examples.…”

“…Piciarelli et al [15] considered a fixed camera network and proposed a camera PTZ reconfiguration for coverage control with considering a relevance parameter, where an ellipse sensing field of view (FOV) is assumed. Parapari et al [4] presented a distributed collision avoidance control for MUMs, but no PTZ configuration. Wang and Guo [16] handled the coverage problem by deriving a distributed control from a potential function, but no PTZ configuration.…”

Coverage Optimization of Camera Network for Continuous Deformable Object

“…C AMERA network is widely used to fulfill various visual tasks in industry, such as surveillance [1], [2], industrial inspection [3], motion capture [4], 3-D reconstruction [5], [6] and so on. Among these implementations, visual coverage is a crucial problem, whose objective is to achieve environmental perception via deploying the visual sensors in 2-D [7]- [9] or 3-D areas [10]- [12]. The main approach for visual coverage follows three steps.…”