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OpenTrench3D: A Photogrammetric 3D Point Cloud Dataset for Semantic Segmentation of Underground Utilities
April 12, 2024, 4:45 a.m. | Lasse H. Hansen, Simon B. Jensen, Mark P. Philipsen, Andreas M{\o}gelmose, Lars Bodum, Thomas B. Moeslund
cs.CV updates on arXiv.org arxiv.org
Abstract: Identifying and classifying underground utilities is an important task for efficient and effective urban planning and infrastructure maintenance. We present OpenTrench3D, a novel and comprehensive 3D Semantic Segmentation point cloud dataset, designed to advance research and development in underground utility surveying and mapping. OpenTrench3D covers a completely novel domain for public 3D point cloud datasets and is unique in its focus, scope, and cost-effective capturing method. The dataset consists of 310 point clouds collected across …
abstract advance arxiv cloud cs.cv dataset development infrastructure maintenance novel planning research research and development segmentation semantic type urban urban planning utilities utility
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