Robotics & Machine Learning Daily News2024,Issue(Dec.12) :65-66.

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)

Robotics & Machine Learning Daily News2024,Issue(Dec.12) :65-66.

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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Abstract

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.”

Key words

Changsha/People’s Republic of China/As ia/Robotics and Automation/Robotics/National University of Defense Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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