首页|Recent Findings from Zhejiang University Provides New Insights into Robotics and Automation (Towards Dense and Accurate Radar Perception Via Efficient Cross-mod al Diffusion Model)
Recent Findings from Zhejiang University Provides New Insights into Robotics and Automation (Towards Dense and Accurate Radar Perception Via Efficient Cross-mod al Diffusion Model)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Robotics - Robotics and Automation are presented in a new report. According to news reporting out of Han gzhou, People’s Republic of China, by NewsRx editors, researchstated, “Millimet er wave (mmWave) radars have attracted significant attention from both academia andindustry due to their capability to operate in extreme weather conditions. H owever, they face challengesin terms of sparsity and noise interference, which hinder their application in the field of micro aerial vehicle(MAV) autonomous n avigation.”
HangzhouPeople’s Republic of ChinaAs iaRobotics and AutomationRoboticsZhejiang University
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