Data handling in large-scale surface reconstruction
Autor(en): | Wiemann, T. Mrozinski, M. Feldschnieders, D. Lingemann, K. Hertzberg, J. |
Herausgeber: | Yamaguchi, H. Michael, N. Berns, K. Menegatti, E. |
Stichwörter: | 3D laser scanning; Data handling; Environment representations; High resolution; Large amounts of data; Laser applications; Mobile systems; Outdoor environment; Polygonal environment; Polygonal mapping; Problems and Solutions, Surface reconstruction; Scanning, 3D Laser scanning; Surface reconstruction | Erscheinungsdatum: | 2016 | Herausgeber: | Springer Verlag | Journal: | Advances in Intelligent Systems and Computing | Volumen: | 302 | Startseite: | 499 | Seitenende: | 511 | Zusammenfassung: | Using high resolution laser scanners, it is possible to create consistent 3D point clouds of large outdoor environments in a short time. Mobile systems are able to measure whole cities efficiently and collect billions of data points. Such large amounts of data can usually not be processed on a mobile system. One approach to create a feasible environment representation that can be used on mobile robots is to compute a compact polygonal environment representation. This paper addresses problems and solutions when processing large point clouds for surface reconstruction. © Springer International Publishing Switzerland 2016. |
Beschreibung: | Conference of 13th International Conference on Intelligent Autonomous Systems, IAS 2014 ; Conference Date: 15 July 2014 Through 18 July 2014; Conference Code:140839 |
ISBN: | 9783319083377 | ISSN: | 21945357 | DOI: | 10.1007/978-3-319-08338-4_37 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84945914214&doi=10.1007%2f978-3-319-08338-4_37&partnerID=40&md5=da28aac295e25e69d3b799f3008e373b |
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geprüft am 17.05.2024