首页|Data on Robotics and Automation Detailed by Researchers at National University o f Defense Technology (Sglc: Semantic Graphguided Coarse-fine-refine Full Loop C losing for Lidar Slam)
Data on Robotics and Automation Detailed by Researchers at National University o f Defense Technology (Sglc: Semantic Graphguided Coarse-fine-refine Full Loop C losing for Lidar Slam)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics - Robotics and Automation. Accordingto news reporting from Changsha, Peo ple’s Republic of China, by NewsRx journalists, research stated,“Loop closing i s a crucial component in SLAM that helps eliminate accumulated errors through tw o mainsteps: loop detection and loop pose correction. The first step determines whether loop closing should beperformed, while the second estimates the 6-DoF pose to correct odometry drift.”
ChangshaPeople’s Republic of ChinaAs iaRobotics and AutomationRoboticsNational University of Defense Technology
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