A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
3D modeling of indoor surfaces with occlusion and clutter
This document highlights on a knowledge-based method to reconstruct planar surfaces of a real indoor environment with occlusion and clutter, which produce a reliable 3D modeling rapidly. The input is 3D point cloud data obtained from a laser scanner, which is known for its accuracy and speed in producing 3D data. The laser is attached on a mobile platform with a servo motor to give a complete 180° coverage, both vertically and horizontally. It takes about 1.7 seconds for the algorithm, which is based on a computational geometry approach, to process and produce the 3D modeling of all existing surfaces on a normal working computer. The method has been tested in different cluttered environments and has shown promising results. This method can be applied towards developing an as-built building Information modeling (BIM) in architectural as well as semantic mapping for a mobile robot Other applications in facility management, building conservation, virtual tours and city infrastructure management could also benefit from this approach.
3D modeling of indoor surfaces with occlusion and clutter
This document highlights on a knowledge-based method to reconstruct planar surfaces of a real indoor environment with occlusion and clutter, which produce a reliable 3D modeling rapidly. The input is 3D point cloud data obtained from a laser scanner, which is known for its accuracy and speed in producing 3D data. The laser is attached on a mobile platform with a servo motor to give a complete 180° coverage, both vertically and horizontally. It takes about 1.7 seconds for the algorithm, which is based on a computational geometry approach, to process and produce the 3D modeling of all existing surfaces on a normal working computer. The method has been tested in different cluttered environments and has shown promising results. This method can be applied towards developing an as-built building Information modeling (BIM) in architectural as well as semantic mapping for a mobile robot Other applications in facility management, building conservation, virtual tours and city infrastructure management could also benefit from this approach.
3D modeling of indoor surfaces with occlusion and clutter
Abdul Shukor, S.A. (author) / Young, K.W. (author) / Rushforth, E.J. (author)
2011
6 Seiten, 23 Quellen
Conference paper
English
Deep Reinforcement Learning-Based Robotic Grasping in Clutter and Occlusion
| DOAJ | 2021
Occlusion type residential building indoor layout structure
| European Patent Office | 2022
A Multiple-Model Prediction Approach for Sea Clutter Modeling
| Online Contents | 2003
Indoor Humidity Modeling and Evaluation of Condensation on Interior Surfaces
| British Library Conference Proceedings | 2004