A probabilistic approach to Hough localization
- 1 January 2001
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 4250-4255
- https://doi.org/10.1109/robot.2001.933282
Abstract
Autonomous navigation for mobile robots performing complex tasks over long periods of time requires eec- tive and robust self-localization techniques. In this paper we describe a probabilistic approach to self- localization that integrates Kalman Þltering with map matching based on the Hough Transform. Several sys- tematic experiments for evaluating the approach have been performed both on a simulator and on soccer robots embedded in the RoboCup environment.Keywords
This publication has 6 references indexed in Scilit:
- An experimental comparison of localization methodsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A Localization Method for a Soccer Robot Using a Vision-Based Omni-Directional SensorPublished by Springer Nature ,2001
- Markov Localization for Mobile Robots in Dynamic EnvironmentsJournal of Artificial Intelligence Research, 1999
- ART Azzurra Robot TeamPublished by Springer Nature ,1999
- The RoboCup physical agent challenge: Goals and protocols for phase IPublished by Springer Nature ,1998
- Use of the Hough transformation to detect lines and curves in picturesCommunications of the ACM, 1972