Robotics & Machine Learning Daily News2024,Issue(Nov.1) :133-133.

Reports from Ministry of Education Advance Knowledge in Robotics and Automation (Point-line Livo Using Patch-based Gradient Optimization for Degenerate Scenes)

Robotics & Machine Learning Daily News2024,Issue(Nov.1) :133-133.

Reports from Ministry of Education Advance Knowledge in Robotics and Automation (Point-line Livo Using Patch-based Gradient Optimization for Degenerate Scenes)

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Abstract

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.”

Key words

Nanjing/People’s Republic of China/Asi a/Robotics and Automation/Robotics/Ministry of Education

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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