Automatic construction of polygonal maps from point cloud data
| Autor(en): | Wiemann, T. Nüchter, A. Lingemann, K. Stiene, S. Hertzberg, J. |
Stichwörter: | 3D point cloud; Automatic construction; Indoor environment; Point cloud data; Self localization; Sensor configurations, Robotics, Robots | Erscheinungsdatum: | 2010 | Journal: | 8th IEEE International Workshop on Safety, Security, and Rescue Robotics, SSRR-2010 | Zusammenfassung: | This paper presents a novel approach to create polygonal maps from 3D point cloud data. The gained map is augmented with an interpretation of the scene. Our procedure produces accurate maps of indoor environments fast and reliably. These maps are successfully used by different robots with varying sensor configurations for reliable self localization. © 2010 IEEE. |
Beschreibung: | Conference of 8th IEEE International Workshop on Safety, Security, and Rescue Robotics, SSRR-2010 ; Conference Date: 26 July 2010 Through 30 July 2010; Conference Code:86439 |
ISBN: | 9781424488995 | DOI: | 10.1109/SSRR.2010.5981571 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-80052577742&doi=10.1109%2fSSRR.2010.5981571&partnerID=40&md5=26d15416348b35ee19fc896fb0db8a11 |
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