Robotics & Machine Learning Daily News2024,Issue(Oct.9) :1-2.

Findings in Robotics and Automation Reported from Harbin Institute of Technology (Neds-slam: a Neural Explicit Dense Semantic Slam Framework Using 3d Gaussian S platting)

Robotics & Machine Learning Daily News2024,Issue(Oct.9) :1-2.

Findings in Robotics and Automation Reported from Harbin Institute of Technology (Neds-slam: a Neural Explicit Dense Semantic Slam Framework Using 3d Gaussian S platting)

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Abstract

New research on Robotics - Robotics an d Automation is the subject of a report. According to news reporting out of Harb in, People's Republic of China, by NewsRx editors, research stated, "We propose NEDS-SLAM, a dense semantic SLAM system based on 3D Gaussian representation, tha t enables robust 3D semantic mapping, accurate camera tracking, and high-quality rendering in realtime. In the system, we propose a Spatially Consistent Featur e Fusion model to reduce the effect of erroneous estimates from pre-trained segm entation head on semantic reconstruction, achieving robust 3D semantic Gaussian mapping." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Youth Talent Support Program of the China.

Key words

Harbin/People's Republic of China/Asia/Robotics and Automation/Robotics/Harbin Institute of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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