Distributed sensor network for real time tracking
Proceedings of the fifth international conference on Autonomous agents
Detection, Tracking and Avoidance of Multiple Dynamic Objects
Journal of Intelligent and Robotic Systems
Multi-Robot Task Allocation in Uncertain Environments
Autonomous Robots
Analysis of Dynamic Task Allocation in Multi-Robot Systems
International Journal of Robotics Research
Combinatorial Optimization: Theory and Algorithms
Combinatorial Optimization: Theory and Algorithms
Hi-index | 0.00 |
In this paper we expand on our previous efforts [1,2,3] to evaluate strategies for improving tracking performance of a multi-sensor surveillance system. The quality of tracking performance is based on two measures: (i) The Mean Track Quality (MTQ) and (ii) Total Expected Number of Misses (TEM). Five strategies of resource allocation were considered based on (a) local versus coordinated, (b) dedicated versus distracted and (c) benevolent. The simulation results suggest that a coordinated and distracted strategy of resource allocation yields the best result throughout while such a strategy coupled with benevolence further improves tracking performance marginally in most cases.