Improving Point Cloud Quality for Mobile Laser Scanning

  • This thesis deals with mobile laser scanning and the complex challenges that it poses to data processing, calibration and registration. New approaches to storing, searching and displaying point cloud data as well as algorithms for calibrating mobile laser scanners and registering laser scans are presented and discussed. Novel methods are tested on state of the art mobile laser scanning systems and are examined in detail. Irma3D, an autonomous mobile laser scanning platform has been developed for the purpose of experimentation. This work is the result of several years of research in robotics and laser scanning. It is the accumulation of many journal articles and conference papers that have been reviewed by peers in the field of computer science, robotics, artificial intelligence and surveying.

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Publishing Institution:IRC-Library, Information Resource Center der Jacobs University Bremen
Granting Institution:Jacobs Univ.
Author:Jan Elseberg
Referee:Andreas Nüchter, Andreas Birk, Joachim Hertzberg, Rolf Lakämper
Advisor:Andreas Nüchter
Persistent Identifier (URN):urn:nbn:de:gbv:579-opus-1003157
Document Type:PhD Thesis
Date of Successful Oral Defense:2013/09/13
Year of Completion:2013
Date of First Publication:2013/11/19
PhD Degree:Computer Science
School:SES School of Engineering and Science
Library of Congress Classification:T Technology / TJ Mechanical engineering and machinery / TJ210.2-211.47 Mechanical devices and figures. Automata. Ingenious mechanisms. Robots (General) / TJ211.3 Robot vision
Call No:Thesis 2013/28

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