Abstract-In the surveillance of multiple targets by mobile sensor agents (MSAs), system performance relies greatly on the motion-control strategy of the MSAs. This paper investigates the motion-planning problem for a limited resource of MSAs in an environment of targets ( ). The kinematics of the MSA is modeled as a point mass moving at a constant speed with a bounded turning radius. Based on the fact that the track information of each target degrades over time, the motion-planning problem is formulated as an optimization problem whose objective is to minimize the average time duration between two consecutive observations of each target. In the case of a single MSA, the motion-planning problem is further interpreted so as to find a time-optimal loop path to traverse the targets. A gradient-approximation algorithm is then proposed to generate a suboptimal loop path for a mobile agent to traverse a sequence of target points. For the multi-MSA-multitarget case, a cooperative online motion-planning approach is developed. Index Terms-Cooperative motion control, mobile sensor agents (MSAs), multi-MSA-multitarget (MMMT) tracking, robot motion planning, sensor management, uninhabited air vehicles (UAVs).
In REF , a team of winged UAVs tries to minimize the average time elapsed between two consecutive observations of each member of a group of targets.
Motion planning for multitarget surveillance with mobile sensor agents
IEEE Transactions on Robotics
IEEE Transactions on Robotics
Mathematics Computer Science