Abstract
ABSTRACT In coal mine roadway, the reconstruction model obtained by 3D laser scanning is interfered by internal point cloud including dust, spray, auxiliary transportation vehicles, personnel flow, and so on, which seriously impacts deformation monitoring based on it. However, most of the current denoising methods barely consider the working conditions of roadway. Thus, this paper developed an automatic removal method of interference points with high efficiency and accuracy in coal mine roadway. It is realized through the establishment and transformation of local coordinate system, construction of voxel grid, bidirectional projection and central axis extraction, and noise removal based on a stepping bounding box. Under different levels of random noise and obstacle point clouds, the method has good performance. Based on the experimental results carried out in an underground roadway, the proposed approach takes 10 s to remove the interference points with an accuracy of 96%, which verifies the feasibility and effectiveness of the method.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
