首页|New Robotics and Automation Findings from Beijing Institute of Technology Outlin ed (Sce-lio: an Enhanced Lidar Inertial Odometry By Constructing Submap Constrai nts)

New Robotics and Automation Findings from Beijing Institute of Technology Outlin ed (Sce-lio: an Enhanced Lidar Inertial Odometry By Constructing Submap Constrai nts)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Research findings on Robotics - Robotics and Auto mation are discussed in a new report. Accordingto news reporting out of Shenzhe n, People’s Republic of China, by NewsRx editors, research stated, “InLiDAR-bas ed Simultaneous Localization and Mapping (SLAM) systems, loop closure detection is crucial forenhancing the accuracy of odometry. However, constraints from loo p closure detection are only providedwhen a loop is detected and can only enhan ce odometry accuracy at specific moments.”

ShenzhenPeople’s Republic of ChinaAs iaRobotics and AutomationRoboticsAlgorithmsBeijing Institute of Technolo gy

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Nov.26)