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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zheng Keqiang Zhuang Yan Wang Wei |
| Copyright Year | 2009 |
| Description | Author affiliation: Research Center of Information and Control, Dalian University of Technology, 116024, China (Zheng Keqiang; Zhuang Yan; Wang Wei) |
| Abstract | The fast reconstruction for 3D environment is a challenging work for autonomous mobile robots. This paper presents an automated 3D scenes reconstruction method based on ICP algorithm. According to the order relations of 3D laser scanning, an effective edge feature extraction method is proposed to extract the edge points in the 3D scenes. The edge points instead of the initial points are used in pairs matching in the course of ICP registration, which can reduce the computational burden significantly. A 3D-grid-division method is adopted to reduce the redundant data points in the overlapping areas of multiple scans. The data points are distributed into small voxels and the point nearest to the center is extracted to reconstruct a new scene. According to the reduced points in the reconstructed scene, digitalization of 3D environment is implemented by using 3D grids and surface meshes. A series of experiment results and data analysis show the method's validity and practicability. |
| Starting Page | 3007 |
| Ending Page | 3012 |
| File Size | 1202188 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424427222 |
| DOI | 10.1109/CCDC.2009.5192430 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-17 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Reconstruction algorithms edge extraction mobile robots Mobile robots Data mining Robotics and automation scenes registration Laser theory Surface reconstruction data reduction Iterative closest point algorithm 3D scenes reconstruction Layout Feature extraction Laser modes |
| Content Type | Text |
| Resource Type | Article |
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