首页|Researchers from Tongji University Report New Studies and Findings in the Area o f Machine Learning (Game Theoretic Noncooperative Dynamic Target Tracking for D irectional Sensingenabled Unmanned Aerial Vehicles)
Researchers from Tongji University Report New Studies and Findings in the Area o f Machine Learning (Game Theoretic Noncooperative Dynamic Target Tracking for D irectional Sensingenabled Unmanned Aerial Vehicles)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on Machine Learning are presented in a new report. According to news originating from Shanghai, People’s Republic of C hina, by NewsRx correspondents, research stated, “In this article, a game theore tic non-cooperative dynamic target tracking algorithm that empowers defensive un manned aerial vehicles (UAVs), with directional sensing capabilities to track an d collect information on intrusive UAVs, is proposed. Specifically, defenders aim to maximize the collection of identity information from intruders possessing anti-tracking and evading capabilities, while simultaneously preventing their entry into protected areas.”
ShanghaiPeople’s Republic of ChinaAsiaMachine LearningAlgorithmsTongji University
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