Nanyang Technological University Reports Findings in Robotics and Automation (Sg ba: Semantic Gaussian Mixture Model-based Lidar Bundle Adjustment)

南洋理工大学报告机器人技术研究成果自动化（Sg BA：基于语义高斯混合模型的激光雷达光束调整

Robotics & Machine Learning Daily News2024，Issue(Nov.28) ：143-144.

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Nanyang Technological University Reports Findings in Robotics and Automation (Sg ba: Semantic Gaussian Mixture Model-based Lidar Bundle Adjustment)

南洋理工大学报告机器人技术研究成果自动化（Sg BA：基于语义高斯混合模型的激光雷达光束调整

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员发布关于机器人-机器人和自动化的新报告。根据来自新加坡的新闻，由NewsRx记者报道，研究称，“激光雷达束”调整(BA)是减小fr端姿态估计漂移的有效方法。现有的LiDAR BA工作通常依赖于预定义的几何特征S来表示地标。

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. According tonews originating from Singapore, Singapore, by NewsRx correspondents, research stated, “LiDAR bundleadjustment ( BA) is an effective approach to reduce the drifts in pose estimation from the fr ont-end.Existing works on LiDAR BA usually rely on predefined geometric feature s for landmark representation.”

Key words

Singapore/Singapore/Asia/Robotics and Automation/Robotics/Nanyang Technological University

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出版年

2024

Robotics & Machine Learning Daily News

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