Toward Robotic Nuclear Decommissioning: Deep Learning-Based Object Classification and Pose Estimation from Partial-View Scans

IF 1.2 3区工程技术 Q3 NUCLEAR SCIENCE & TECHNOLOGY

Nuclear Science and Engineering Pub Date : 2024-05-08 DOI:10.1080/00295639.2024.2340171

Sungmoon Joo

引用次数: 0

Abstract

This study introduces a novel framework for the robotic decommissioning of nuclear facilities, that focuses on object classification and six degrees of freedom pose estimation from partial-view thr...

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实现机器人核退役：基于深度学习的物体分类和局部视角扫描的姿态估计

本研究为核设施的机器人退役工作引入了一个新颖的框架，该框架侧重于物体分类和从局部视角进行六自由度姿态估计。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nuclear Science and Engineering 工程技术-核科学技术

CiteScore

2.10

自引率

25.00%

发文量

审稿时长

3 months

期刊介绍： Nuclear Science and Engineering, the research journal of the American Nuclear Society, publishes articles on research and development related to peaceful utilization of nuclear energy, radiation, and alternative energy sources.