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Authors: Hugo Silva 1 ; Alexandre Bernardino 2 and Eduardo Silva 1

Affiliations: 1 ISEP, Portugal ; 2 IST, Portugal

Keyword(s): Visual Navigation, Stereo Vision, Visual Odometry, Egomotion.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Optical Flow and Motion Analyses ; Pattern Recognition ; Robotics ; Software Engineering ; Stereo Vision and Structure from Motion ; Tracking and Visual Navigation

Abstract: We present a novel approach to 6D visual odometry for vehicles with calibrated stereo cameras. A dense probabilistic egomotion (5D) method is combined with robust stereo feature based approaches and Extended Kalman Filtering (EKF) techniques to provide high quality estimates of vehicle’s angular and linear velocities. Experimental results show that the proposed method compares favorably with state-the-art approaches, mainly in the estimation of the angular velocities, where significant improvements are achieved.

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Paper citation in several formats:
Silva, H.; Bernardino, A. and Silva, E. (2013). 6D Visual Odometry with Dense Probabilistic Egomotion Estimation. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP; ISBN 978-989-8565-48-8; ISSN 2184-4321, SciTePress, pages 361-365. DOI: 10.5220/0004196103610365

@conference{visapp13,
author={Hugo Silva. and Alexandre Bernardino. and Eduardo Silva.},
title={6D Visual Odometry with Dense Probabilistic Egomotion Estimation},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP},
year={2013},
pages={361-365},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004196103610365},
isbn={978-989-8565-48-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP
TI - 6D Visual Odometry with Dense Probabilistic Egomotion Estimation
SN - 978-989-8565-48-8
IS - 2184-4321
AU - Silva, H.
AU - Bernardino, A.
AU - Silva, E.
PY - 2013
SP - 361
EP - 365
DO - 10.5220/0004196103610365
PB - SciTePress