首页|New Robotics and Automation Study Findings Recently Were Reporteds by Researchers at Tongji University (Log-lio: a Lidar-inertials Odometry With Efficient Local Geometric Information Estimation)
New Robotics and Automation Study Findings Recently Were Reporteds by Researchers at Tongji University (Log-lio: a Lidar-inertials Odometry With Efficient Local Geometric Information Estimation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Robotics - Robotics and Automation are presented in a new report.According to news reporting out of Shanghai, People’s Republic of China, by NewsRx editors, researchstated, “Local geometric information, i.e., normal and distribution of points, is crucial for LiDAR-basedsimultaneous localization and mapping (SLAM) because it provides constraints for data association, whichfurther determines the direction of optimization and ultimately affects the accuracy of localization. How-ever, estimating normal and distribution of points are time-consuming tasks even with the assistance ofkdtree or volumetric maps.”
ShanghaiPeople’s Republic of ChinaAsiaRobotics ands AutomationRoboticsTongji University
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