首页|Study Findings from Wuhan University Broaden Understanding of Robotics and Autom ation (Dynameshslam: a Mesh-based Dynamic Visual Slammot Method)
Study Findings from Wuhan University Broaden Understanding of Robotics and Autom ation (Dynameshslam: a Mesh-based Dynamic Visual Slammot Method)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Robotics - Robotics and Automation. According to news originating from Wuhan, Pe ople’s Republic of China, by NewsRx correspondents, research stated, “In order t o estimate both camera poses and dynamic object poses, the visual SLAMMOT method combines visual Simultaneous Localization and Mapping (SLAM) with Multiple Obje ct Tracking (MOT). Many visual SLAMMOT methods represent dynamic objects as boun ding boxes and point cloud clusters, which ignores the geometric properties of t he object surfaces that can provide additional constraints.”
WuhanPeople's Republic of ChinaAsiaRobotics and AutomationRoboticsWuhan University
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