首页|Researcher at Japan Atomic Energy Agency Describes Research in Robotics and Mechatronics (Discrimination of Plant Structures in 3D Point Cloud Through Back-Projection of Labels Derived from 2D Semantic Segmentation)
Researcher at Japan Atomic Energy Agency Describes Research in Robotics and Mechatronics (Discrimination of Plant Structures in 3D Point Cloud Through Back-Projection of Labels Derived from 2D Semantic Segmentation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in robotics and mechatronics. According to news reporting originating from Fukushima, Japan, by NewsRx correspondents, research stated, "In the decommissioning of the Fukushima Daiichi Nuclear Power Station, radiation dose calculations necessitate a 3D model of the workspace are performed to determine suitable measures for reducing exposure." Our news editors obtained a quote from the research from Japan Atomic Energy Agency: "However, the construction of a 3D model from a 3D point cloud is a costly endeavor. To separate the geometrical shape regions on 3D point cloud, we are developing a structure discrimination method using 3D and 2D deep learning to contribute to the advancement of 3D modeling automation technology. In this paper, we present a method for transferring and fusing labels to handle 2D prediction labels in 3D space." According to the news editors, the research concluded: "We propose an exhaustive label fusion method designed for plant facilities with intricate structures. Through evaluation on a mock-up plant dataset, we confirmed the method's effective performance."
Japan Atomic Energy AgencyFukushimaJapanAsiaMechatronicsRobotics
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