Robotics & Machine Learning Daily News2024,Issue(Feb.12) :43-44.DOI:10.1109/LRA.2023.3342548

New Findings from Tsinghua University Describe Advances in Robotics (Rh-map: Online Map Construction Framework of Dynamic Object Removal Based On 3d Region-wise Hash Map Structure)

Robotics & Machine Learning Daily News2024,Issue(Feb.12) :43-44.DOI:10.1109/LRA.2023.3342548

New Findings from Tsinghua University Describe Advances in Robotics (Rh-map: Online Map Construction Framework of Dynamic Object Removal Based On 3d Region-wise Hash Map Structure)

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Abstract

Data detailed on Robotics have been presented. According to news originating from Shenzhen, People's Republic of China, by NewsRx correspondents, research stated, "Mobile robots navigating in outdoor environments frequently encounter the issue of undesired traces left by dynamic objects and manifested as obstacles on map, impeding robots from achieving accurate localization and effective navigation. To tackle the problem, a novel map construction framework based on 3D region-wise hash map structure (RH-Map) is proposed, consisting of front-end scan refresh and back-end removal modules, which realizes real-time map construction and online dynamic object removal (DOR)."

Key words

Shenzhen/People's Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robotics/Tsinghua University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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被引量2
参考文献量30
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