Automatic Obstacle Classification using Laser and Camera Fusion

Aurelio Ponz, C. H. Rodríguez-Garavito, Fernando García, Philip Lenz, Christoph Stiller, J. M. Armingol

2015

Abstract

State of the art Driving Assistance Systems and Autonomous Driving applications are employing sensor fusion in order to achieve trustable obstacle detection and classification under any meteorological and illumination condition. Fusion between laser and camera is widely used in ADAS applications in order to overcome the difficulties and limitations inherent to each of the sensors. In the system presented, some novel techniques for automatic and unattended data alignment are used and laser point clouds are exploited using Artificial Intelligence techniques to improve the reliability of the obstacle classification. New approaches to the problem of clustering sparse point clouds have been adopted, maximizing the information obtained from low resolution lasers. After improving cluster detection, AI techniques have been used to classify the obstacle not only with vision, but also with laser information. The fusion of the information acquired from both sensors, adding the classification capabilities of the laser, improves the reliability of the system.

Paper Citation

in Harvard Style

Ponz A., H. Rodríguez-Garavito C., García F., Lenz P., Stiller C. and M. Armingol J. (2015). Automatic Obstacle Classification using Laser and Camera Fusion . In Proceedings of the 1st International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-109-0, pages 19-24. DOI: 10.5220/0005459600190024

in Bibtex Style

@conference{vehits15,
author={Aurelio Ponz and C. H. Rodríguez-Garavito and Fernando García and Philip Lenz and Christoph Stiller and J. M. Armingol},
title={Automatic Obstacle Classification using Laser and Camera Fusion},
booktitle={Proceedings of the 1st International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2015},
pages={19-24},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005459600190024},
isbn={978-989-758-109-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Automatic Obstacle Classification using Laser and Camera Fusion
SN - 978-989-758-109-0
AU - Ponz A.
AU - H. Rodríguez-Garavito C.
AU - García F.
AU - Lenz P.
AU - Stiller C.
AU - M. Armingol J.
PY - 2015
SP - 19
EP - 24
DO - 10.5220/0005459600190024