Results 21 to 30 of about 2,014,996 (306)
Remote Sensing, 2021 A successful application of low-cost 3D cameras in combination with artificial intelligence (AI)-based 3D object detection algorithms to outdoor mobile mapping would offer great potential for numerous mapping, asset inventory, and change detection tasks ...
Stephan Nebiker +4 more
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A simple technique for road surface modelling
Geodesy and Cartography, 2016 Road surface survey is critical for road engineers to determine the needs of maintenance and rehabilitation for both network and project level study. This paper reviews the road surface survey methods, including image based, photogrammetric and stereo ...
Khalid l. A. El-Ashmawy
doaj +1 more source
Paris-CARLA-3D: A Real and Synthetic Outdoor Point Cloud Dataset for Challenging Tasks in 3D Mapping
Remote Sensing, 2021 Paris-CARLA-3D is a dataset of several dense colored point clouds of outdoor environments built by a mobile LiDAR and camera system. The data are composed of two sets with synthetic data from the open source CARLA simulator (700 million points) and real ...
Jean-Emmanuel Deschaud +5 more
doaj +1 more source
Billa Kalina [cartographic material] /
, 1948 Topographic map of Billa Kalina, South Australia. Relief shown by spot heights.; On verso: Mis.13079.; Also available in an electronic version via the internet at: http://nla.gov.au/nla.map ...
Australia. National Mapping Section.
core +3 more sources
Algorithms for Mobile Robot Localization and Mapping, Incorporating Detailed Noise Modeling and Multi-scale Feature Extraction [PDF]
, 2006 Mobile robot localization and mapping in unknown environments is a fundamental requirement for effective autonomous navigation. Three different approaches to localization and mapping are presented.
Pfister, Samuel Thomas
core +1 more source
Road Environment Semantic Segmentation with Deep Learning from MLS Point Cloud Data
Sensors, 2019 In the near future, the communication between autonomous cars will produce a network of sensors that will allow us to know the state of the roads in real time.
Jesús Balado +3 more
doaj +1 more source
Remote Sensing, 2020 Large-scale spatial databases contain information of different objects in the public domain and are of great importance for many stakeholders. These data are not only used to inventory the different assets of the public domain but also for project ...
Lukas Mattheuwsen, Maarten Vergauwen
doaj +1 more source
Geometric Characterization of Vines from 3D Point Clouds Obtained with Laser Scanner Systems
Remote Sensing, 2019 The 3D digital characterization of vegetation is a growing practice in the agronomy sector. Precision agriculture is sustained, among other methods, by variables that remote sensing techniques can digitize.
Ana del-Campo-Sanchez +3 more
doaj +1 more source
Automated Recognition of Railroad Infrastructure in Rural Areas from LIDAR Data
Remote Sensing, 2015 This study is aimed at developing automated methods to recognize railroad infrastructure from 3D LIDAR data. Railroad infrastructure includes rail tracks, contact cables, catenary cables, return current cables, masts, and cantilevers.
Mostafa Arastounia
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Comparison of the Selected State-Of-The-Art 3D Indoor Scanning and Point Cloud Generation Methods
Remote Sensing, 2017 Accurate three-dimensional (3D) data from indoor spaces are of high importance for various applications in construction, indoor navigation and real estate management.
Ville V. Lehtola +14 more
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