Stereo Vision-based Local Occupancy Grid Map for Autonomous Navigation in ROS

Pablo Marín-Plaza, Jorge Beltrán, Ahmed Hussein, Basam Musleh, David Martín, Arturo de la Escalera, José María Armingol

2016

Abstract

Autonomous navigation for unmanned ground vehicles has gained significant interest in the research community of mobile robotics. This increased attention comes from its noteworthy role in the field of Intelligent Transportation Systems (ITS). In order to achieve the autonomous navigation for ground vehicles, a detailed model of the environment is required as its input map. This paper presents a novel approach to recognize static obstacles by means of an on-board stereo camera and build a local occupancy grid map in a Robot Operating System (ROS) architecture. The output maps include information concerning the environment 3D structures, which is based on stereo vision. These maps can enhance the global grid map with further details for the undetected obstacles by the laser rangefinder. In order to evaluate the proposed approach, several experiments are performed in different scenarios. The output maps are precisely compared to the corresponding global map segment and to the equivalent satellite image. The obtained results indicate the high performance of the approach in numerous situations.

Paper Citation

in Harvard Style

Marín-Plaza P., Beltrán J., Hussein A., Musleh B., Martín D., de la Escalera A. and Armingol J. (2016). Stereo Vision-based Local Occupancy Grid Map for Autonomous Navigation in ROS . In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 701-706. DOI: 10.5220/0005787007010706

in Bibtex Style

@conference{visapp16,
author={Pablo Marín-Plaza and Jorge Beltrán and Ahmed Hussein and Basam Musleh and David Martín and Arturo de la Escalera and José María Armingol},
title={Stereo Vision-based Local Occupancy Grid Map for Autonomous Navigation in ROS},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016)},
year={2016},
pages={701-706},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005787007010706},
isbn={978-989-758-175-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016)
TI - Stereo Vision-based Local Occupancy Grid Map for Autonomous Navigation in ROS
SN - 978-989-758-175-5
AU - Marín-Plaza P.
AU - Beltrán J.
AU - Hussein A.
AU - Musleh B.
AU - Martín D.
AU - de la Escalera A.
AU - Armingol J.
PY - 2016
SP - 701
EP - 706
DO - 10.5220/0005787007010706