You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

Stereo Vision Based Navigation for Automated Vehicles in Industry

Fulltext:


Authors:


Research group:


Publication Type:

Conference/Workshop Paper

Venue:

14th IEEE International Conference on emerging Technologies and Factory Automation ETFA 2009


Abstract

This paper proposes a stereo vision based localization and mapping strategy for vehicular navigation within industrial environments using natural landmarks. The work proposed is strictly related to factory automation, since focus is on industrial vehicle autonomous navigation for material handling, in order to increase the operating efficiency with reduced risk for accidents. The stereovision system, proposed as the main sensor, provides the necessary feedback to navigate and simultaneously calibrate the stereocamera parameters (like the camera separation, focal length, camera placement with respect to the robot, etc.). It uses the natural landmarks already present in the environment without additional infrastructures. Some simulation and experimental results are presented in order to explain the proposed method and current status.

Bibtex

@inproceedings{Spampinato1531,
author = {Giacomo Spampinato and J{\"o}rgen Lidholm and Fredrik Ekstrand and Lars Asplund},
title = {Stereo Vision Based Navigation for Automated Vehicles in Industry},
month = {September},
year = {2009},
booktitle = {14th IEEE International Conference on emerging Technologies and Factory Automation ETFA 2009},
url = {http://www.es.mdu.se/publications/1531-}
}