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Deep Reinforcement Learning Based Localization and Tracking of Intruder Drone
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Unmanned aerial vehicles (UAVs) are fast becoming a low-cost, affordable tool for various security and surveillance tasks. It has led to the use of UAVs (drones) for unlawful activities such as spying or infringing on ...
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