Abstract
In this article we present a case-based approach for the self-localization of autonomous robots based on local visual information of landmarks. The goal is to determine the position and the orientation of the robot sufficiently enough, despite some strongly incorrect visual information. Our approach to solve this problem makes use of case-based reasoning methods. © 2001 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Wendler, J., Brüggert, S., Burkhard, H. D., & Myritz, H. (2001). Fault-tolerant self localization by case-based reasoning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2019 LNAI, pp. 259–268). Springer Verlag. https://doi.org/10.1007/3-540-45324-5_24
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
