Watch from sky: machine-learning-based multi-UAV network for predictive police surveillance
Shibaura Institute of Technology（芝浦工业大学）；Tokyo Institute of Technology（东京工业大学）；Kyoto University（京都大学）；Rutgers University（罗格斯大学）
英文摘要：
This paper presents the watch-from-sky framework, where multiple unmanned aerial vehicles (UAVs) play four roles, i.e., sensing, data forwarding, computing, and patrolling, for predictive police surveillance. Our framework is promising for crime deterrence because UAVs are useful for collecting and distributing data and have high mobility. Our framework relies on machine learning (ML) technology for controlling and dispatching UAVs and predicting crimes. This paper compares the conceptual model of our framework against the literature. It also reports a simulation of UAV dispatching using reinforcement learning and distributed ML inference over a lossy UAV network.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
