Robust vision-based localization for mobile robots using an image retrieval system based on invariant features
Open Access
- 25 June 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 359-365
- https://doi.org/10.1109/robot.2002.1013387
Abstract
We present a vision-based approach to mobile robot localization, that integrates an image retrieval system with Monte-Carlo localization. The image retrieval process is based on features that are invariant with respect to image translations, rotations, and limited scale. Using the local features the system is robust against distortion and occlusions, which is especially important in populated environments. By using the sample-based Monte-Carlo localization technique our robot is able to globally localize itself to reliably keep tracking of its position, and to recover from localization failures. Both techniques are combined by extracting for each image a set of possible view-points using a two-dimensional map of the environment. Our technique was implemented and tested extensively. We present several experiments demonstrating the reliability and robustness of our approach even in the context of dynamics in the environment and larger errors in the odometry.Keywords
This publication has 14 references indexed in Scilit:
- Visual navigation using omnidirectional view sequencePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Probabilistic localization by appearance models and active visionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Using the CONDENSATION algorithm for robust, vision-based mobile robot localizationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Learning visual landmarks for pose estimationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Vision-based robot localization without explicit object modelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Vision-based mobile robot localization and mapping using scale-invariant featuresPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Appearance-based place recognition for topological localizationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Robust localization using context in omnidirectional imagingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2001
- A layered architecture for office delivery robotsPublished by Association for Computing Machinery (ACM) ,1997
- Invariant features for gray scale imagesPublished by Springer Nature ,1995