Advancements in Point Cloud-Based 3D Defect Detection and Classification for Industrial Systems: A Comprehensive Survey

arXiv:2402.12923v1 Announce Type: new
Abstract: In recent years, 3D point clouds (PCs) have gained significant attention due to their diverse applications across various fields such as computer vision (CV), condition monitoring, virtual reality, robotics, autonomous driving etc. Deep learning (DL) has proven effective in leveraging 3D PCs to address various challenges previously encountered in 2D vision. However, the application of deep neural networks (DNN) to process 3D PCs presents its own set of challenges. To address these challenges, numerous methods …

abstract applications arxiv attention autonomous autonomous driving classification cloud cloud-based computer computer vision cs.cv deep learning defect detection detection diverse diverse applications driving etc fields industrial monitoring pcs reality robotics survey systems type virtual virtual reality vision