Moving target tracking by UAVs in an urban area

作者：Zhirong He, Jianxin Xu · 年份：2013 · DOI：10.1109/icca.2013.6564973 · 被引用次数：9 · 研究领域：Distributed Control Multi-Agent Systems、Advanced Control Systems Optimization、Robotic Path Planning Algorithms

In this paper we investigate the problem of autonomously tracking a ground moving target in an urban area by unmanned aerial vehicles (UAVs). In this scenario, the target is tracked by two UAVs with on-board sensors under the constraints of urban area occlusions. Information regarding the line of sight occlusions in the urban area is available from a database. To ensure successfully trajectory planning, the UAVs' dynamic constrains must be taken into account. Model predictive control(MPC) method is introduced for a cooperative motion planning in real time. To test the MPC algorithm, simulations using a visual database of the CBD in Singapore are conducted and the performance is showed in three different scenarios.