Results 41 to 50 of about 6,825,217 (303)
Multimodal Panoptic Segmentation of 3D Point Clouds [PDF]
, 2023 The understanding and interpretation of complex 3D environments is a key challenge of autonomous driving. Lidar sensors and their recorded point clouds are particularly interesting for this challenge since they provide accurate 3D information about the ...
Dürr, Fabian
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Machine Learning in LiDAR 3D Point Clouds [PDF]
, 2021 LiDAR point clouds contain measurements of complicated natural scenes and can be used to update digital elevation models, glacial monitoring, detecting faults and measuring uplift detecting, forest inventory, detect shoreline and beach volume changes, landslide risk analysis, habitat mapping, and urban development, among others.
F. Patricia Medina, Randy C. Paffenroth
openaire +3 more sources
Reconstruction of industrial piping installations from laser point clouds using profiling techniques [PDF]
, 2009 Includes abstract.Includes bibliographical references (leaves 143-152).As-built models of industrial piping installations are essential for planning applications in industry. Laser scanning has emerged as the preferred data acquisition method of as built
Mapurisa, Willard T
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Can 3D Point Clouds Replace GCPs? [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 Over the past decade, large-scale photogrammetric products have been extensively used for the geometric documentation of cultural heritage monuments, as they combine metric information with the qualities of an image document.
G. Stavropoulou +2 more
doaj +1 more source
A Cost-Effective Method for Reconstructing City-Building 3D Models from Sparse Lidar Point Clouds
Remote Sensing, 2022 The recent popularization of airborne lidar scanners has provided a steady source of point cloud datasets containing the altitudes of bare earth surface and vegetation features as well as man-made structures.
Marek Kulawiak
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Cartographie du changement à l'aide de nuages de points 3D [PDF]
, 2022 The presentation presents the point clouds as remote sensing data for change detection. Indeed, the earth's surface is continuously changing either rapidly or slowly depending on the event.
Kharroubi, Abderrazzaq
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Tracking of secondary and temporary objects in structural concrete work [PDF]
, 2014 Purpose - Previous research has shown that "Scan-vs-BIM" object recognition systems, that fuse 3D point clouds from Terrestrial Laser Scanning (TLS) or digital photogrammetry with 4D project BIM models, provide valuable information for tracking ...
Yelda Turkan +7 more
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Three Dimensional Change Detection Using Point Clouds: A Review [PDF]
, 2022 Change detection is an important step for the characterization of object dynamics at the earth’s surface. In multi-temporal point clouds, the main challenge is to detect true changes at different granularities in a scene subject to significant ...
Kharroubi, Abderrazzaq +9 more
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5-Step Guide to generate 3D meshes from point clouds with Python [PDF]
, 2020 Tutorial to generate 3D meshes (.obj, .ply, .stl, .gltf) automatically from 3D point clouds using python.
Poux, Florent
core
3D Component Segmentation Network and Dataset for Non-Cooperative Spacecraft
Aerospace, 2022 Spacecraft component segmentation is one of the key technologies which enables autonomous navigation and manipulation for non-cooperative spacecraft in OOS (On-Orbit Service). While most of the studies on spacecraft component segmentation are based on 2D
Guangyuan Zhao +4 more
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