首页|Reports from Ministry of Education Advance Knowledge in Robotics and Automation (Point-line Livo Using Patch-based Gradient Optimization for Degenerate Scenes)
Reports from Ministry of Education Advance Knowledge in Robotics and Automation (Point-line Livo Using Patch-based Gradient Optimization for Degenerate Scenes)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics - Robotics a nd Automation have been presented. According to news reporting out of Nanjing, P eople’s Republic of China, by NewsRx editors, research stated, “Simultaneous loc alization and mapping based on 3-D light detection and ranging (LiDAR) tends to degenerate in structural-less environments, leading to a distinct reduction in l ocalization accuracy and mapping precision. This article proposes a point-line L iDAR-visual-inertial odometry (PL-LIVO) based on the system implementation of FA ST-LIVO for robust localization in LiDAR-degenerate scenes.”
NanjingPeople’s Republic of ChinaAsi aRobotics and AutomationRoboticsMinistry of Education
NETL
NSTL
