Fusing laser and vision data with a genetic ICP algorithm

Quirin Mühlbauer, Kolja Kühnlenz, Martin Buss

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

9 Scopus citations

Abstract

Knowledge about the environment is essential for humanoid and mobile robots to move and act safely. The most intuitive way to perceive information about the environment is through the vision system. However, the accuracy provided by stereo vision is insufficient for many tasks. A more accurate representation is created by a laser range-finder, which delivers no color information. This paper describes a novel approach to merge data obtained by stereo vision and laser range-finders by using a genetic ICP algorithm, which is able to register noisy point clouds with different resolutions and a small overlap. Furthermore, it describes an easy-to-use and robust method to calibrate the extrinsic parameters of two or more laser rangefinders.

Original languageEnglish
Title of host publication2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008
Pages1844-1849
Number of pages6
DOIs
StatePublished - 2008
Event2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008 - Hanoi, Viet Nam
Duration: 17 Dec 200820 Dec 2008

Publication series

Name2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008

Conference

Conference2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008
Country/TerritoryViet Nam
CityHanoi
Period17/12/0820/12/08

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