期刊
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
卷 23, 期 7, 页码 9281-9285出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TITS.2021.3077880
关键词
UAVs; aerial drones; aerial surveillance; navigation; coverage; internet of flying robots; internet of drones; moving ground targets; traffic monitoring
资金
- Australian Research Council
- Australian Government
- Office of Naval Research (ONR) Multidisciplinary University Research Initiatives (MURI) [AUSMURIB000001, N00014-19-1-2571]
This paper explores the usage of unmanned aerial vehicles (UAVs) for traffic surveillance and develops a distributed navigation algorithm to effectively monitor moving ground targets. Simulation results confirm the effectiveness of the proposed navigation algorithm.
With the rapid increase of vehicles in recent years, traffic surveillance becomes a crucial issue of traffic management. Since the traditional static sensor-based surveillance system can only passively monitor traffic, this paper considers the usage of unmanned aerial vehicles (UAVs), which can proactively conduct traffic surveillance thanks to the excellent mobility of UAVs. Specifically, we consider the navigation problem of a network of UAVs to effectively monitor a group of ground targets which move along a curvy road. A surveillance optimization problem is stated. and a distributed navigation algorithm for the UAV network is developed. It is proved that the proposed algorithm is locally optimal. Simulations confirm the effectiveness of the proposed navigation algorithm.
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