首页|Report Summarizes Robotics and Automation Study Findings from Chinese Academy of Sciences (Intensity Triangle Descriptor Constructed From High-resolution Spinni ng Lidar Intensity Image for Loop Closure Detection)
Report Summarizes Robotics and Automation Study Findings from Chinese Academy of Sciences (Intensity Triangle Descriptor Constructed From High-resolution Spinni ng Lidar Intensity Image for Loop Closure Detection)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics - Robotics and Automation. According to news reporting originating in Bei jing, People’s Republic of China, by NewsRx journalists, research stated, “LiDAR -based loop closure detection is a crucial part of realizing robust SLAM algorit hms for intelligent vehicles with LiDAR sensors. Existing methods often reduce t he keypoint dimension to encode the global descriptor, which sacrifices the free dom of loop detection and correction.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
BeijingPeople’s Republic of ChinaAsi aRobotics and AutomationRoboticsChinese Academy of Sciences
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