Robotics & Machine Learning Daily News2024,Issue(Dec.2) :117-118.

Studies in the Area of Robotics Reported from Harbin Institute of Technology (Fr omfusion: Fast and Robust On-manifold Dense Reconstruction for Low-cost Wheeled Robots)

哈尔滨工业大学在机器人领域的研究报告(Fr omfusion:低成本轮式机器人的快速鲁棒流形密集重构)

Robotics & Machine Learning Daily News2024,Issue(Dec.2) :117-118.

Studies in the Area of Robotics Reported from Harbin Institute of Technology (Fr omfusion: Fast and Robust On-manifold Dense Reconstruction for Low-cost Wheeled Robots)

哈尔滨工业大学在机器人领域的研究报告(Fr omfusion:低成本轮式机器人的快速鲁棒流形密集重构)

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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每日新闻-机器人的最新研究结果已经公布。根据新闻报道原产于中国人民共和国哈尔滨,由NewsRx记者报道,研究称:“现有的基于体素Has Hing(VH)的密集重建方法在收集的da Taset上显示了令人印象深刻的结果手持摄像机。大规模场景维护采用截断符号距离函数(TSDF)体积表示。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Robotics have been published. According to news reportingoriginating from Harbin, People’s R epublic of China, by NewsRx correspondents, research stated, “Existingvoxel-has hing (VH)-based dense reconstruction methods have shown impressive results on da tasets collectedby hand-held cameras. Large-scale scenes are maintained with a truncated signed distance function(TSDF) volumetric representation.”

Key words

Harbin/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robotics/Harbin Institut e of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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