@inproceedings{ee418435f0144952b6a6558a8d48f273,
title = "Indoor SLAM using a range-augmented omnidirectional vision",
abstract = "A promising combination of sensors as a laser range finder and an omnidirectional camera can be used to extract rich 3D information from indoor environments for robot mapping and localization. This paper presents an implementation of FastSLAM using 3D vertical edges retrieved from a range-augmented omnidirectional vision sensor. Our sensor model in conjunction with the FastSLAM algorithm solves the indoor Simultaneous Localization and Mapping problem. The real world experiment to validate our approach used a Pioneer-3DX mobile robot equipped with a URG-04LX laser range finder and an omnidirectional camera.",
author = "Cortes, {B. Bacca} and Sole, {X. Cufi} and J. Salvi",
year = "2011",
doi = "10.1109/ICCVW.2011.6130254",
language = "English",
isbn = "9781467300629",
series = "Proceedings of the IEEE International Conference on Computer Vision",
pages = "280--287",
booktitle = "2011 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2011",
note = "2011 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2011 ; Conference date: 06-11-2011 Through 13-11-2011",
}