Robotics & Machine Learning Daily News2024,Issue(Nov.26) :79-80.

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

北京理工学院机器人与自动化的新发现(sce-lio:通过构造子图约束增强激光雷达惯性里程计)

Robotics & Machine Learning Daily News2024,Issue(Nov.26) :79-80.

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

北京理工学院机器人与自动化的新发现(sce-lio:通过构造子图约束增强激光雷达惯性里程计)

扫码查看

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新闻-机器人学的研究成果-机器人学和自动化在一份新的报告中讨论。根据对于NewsRx编辑在中华人民共和国深圳进行的新闻报道,研究表明,"在中国,基于lidar-based的(SLAM)同步定位和制图系统中,闭环检测是关键提高里程测量精度。然而,仅提供lop闭合检测的约束条件当检测到环路时,只能在特定时刻提高里程测量精度。

Abstract

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.”

Key words

Shenzhen/People’s Republic of China/As ia/Robotics and Automation/Robotics/Algorithms/Beijing Institute of Technolo gy

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文