Probabilistic Plane Fitting in 3D and an Application to Robotic Mapping
Weingarten, J.; Gruener, G.; Siegwart, R.
2004

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Abstract

This paper presents a method for probabilistic plane fitting and an application to robotic 3D mapping. The plane is fitted in an orthogonal least-square sense and the output complies with the conventions of the Symmetries and Perturbation model (SPmodel). In the second part of the paper, the presented plane fitting method is used within a 3D mapping application. It is shown that by using probabilistic information, high precision 3D maps can be generated

Details

Title Probabilistic Plane Fitting in 3D and an Application to Robotic Mapping
Author(s) Weingarten, J. ; Gruener, G. ; Siegwart, R.
Published in IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04
Volume 1
Pages 927-932
Conference IEEE International Conference on Robotics and Automation, New Orleans, April - May 2004
Date 2004
Keywords
DOI https://doi.org/10.1109/ROBOT.2004.1307268
Other identifier(s) View record in Web of Science
Additional link Conference Web Site
Laboratories LSA
Record Appears in Scientific production and competences > STI - School of Engineering > STI Archives > LSA - Autonomous Systems Laboratory 1
Peer-reviewed publications
Conference Papers
Work produced at EPFL
Published
Record creation date 2006-12-07

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