A clustering method for efficient segmentation of 3D laser data

Klaas Klasing, Dirk Wollherr, Martin Buss

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

157 Scopus citations

Abstract

In this paper we present a novel method for the efficient segmentation of 3D laser range data. The proposed algorithm is based on a radially bounded nearest neighbor strategy and requires only two parameters. It yields deterministic, repeatable results and does not depend on any initialization procedure. The efficiency of the method is verified with synthetic and real 3D data.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Robotics and Automation, ICRA 2008
Pages4043-4048
Number of pages6
DOIs
StatePublished - 2008
Event2008 IEEE International Conference on Robotics and Automation, ICRA 2008 - Pasadena, CA, United States
Duration: 19 May 200823 May 2008

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
ISSN (Print)1050-4729

Conference

Conference2008 IEEE International Conference on Robotics and Automation, ICRA 2008
Country/TerritoryUnited States
CityPasadena, CA
Period19/05/0823/05/08

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