Topological Map Building and Path Estimation Using Global-appearance Image Descriptors

Francisco Amoros, Luis Paya, Oscar Reinoso, Walterio Mayol-Cuevas, Andrew Calway

Abstract

Visual-based navigation has been a source of numerous researches in the field of mobile robotics. In this paper we present a topological map building and localization algorithm using wide-angle scenes. Global-appearance descriptors are used in order to optimally represent the visual information. First, we build a topological graph that represents the navigation environment. Each node of the graph is a different position within the area, and it is composed of a collection of images that covers the complete field of view. We use the information provided by a camera that is mounted on the mobile robot when it travels along some routes between the nodes in the graph. With this aim, we estimate the relative position of each node using the visual information stored. Once the map is built, we propose a localization system that is able to estimate the location of the mobile not only in the nodes but also on intermediate positions using the visual information. The approach has been evaluated and shows good performance in real indoor scenarios under realistic illumination conditions.

References

  1. Cummins, M. and Newman, P. (2009). Highly scalable appearance-only SLAM - FAB-MAP 2.0. In Proceedings of Robotics: Science and Systems, Seattle, USA.
  2. Frizera, R., H., S., and Santos-Victor, J. (1998). Visual navigation: Combining visual servoing and appearance based methods.
  3. Gaspar, J., Winters, N., and Santos-Victor, J. (2000). Vision-based navigation and environmental representations with an omnidirectional camera. Robotics and Automation, IEEE Transactions on, 16(6):890 -898.
  4. Gil, A., Reinoso, O., Ballesta, M., Julia, M., and Paya, L. (2010). Estimation of visual maps with a robot network equipped with vision sensors. Sensors, 10(5):5209-5232.
  5. Krose, B., Bunschoten, R., Hagen, S., Terwijn, B., and Vlassis, N. (2007). Visual homing in enviroments with anisotropic landmark distrubution. In Autonomous Robots, 23(3), 2007, pp. 231-245.
  6. Lowe, D. (2004). Distinctive image features from scaleinvariant keypoints. Int. J. Comput. Vision, 60(2):91- 110.
  7. Menegatti, E., Maeda, T., and Ishiguro, H. (2004). Imagebased memory for robot navigation using properties of omnidirectional images. Robotics and Autonomous Systems, 47(4):251 - 267.
  8. Moravec, H. and Elfes, A. (1985). High resolution maps from wide angle sonar. In Robotics and Automation. Proceedings. 1985 IEEE International Conference on, volume 2, pages 116 - 121.
  9. Murillo, A., Guerrero, J., and Sagues, C. (2007). Surf features for efficient robot localization with omnidirectional images. In Robotics and Automation, 2007 IEEE International Conference on, pages 3901 -3907.
  10. Oliva, A. and Torralba, A. (2001). Modeling the shape of the scene: a holistic representation of the spatial envelope. In International Journal of Computer Vision, Vol. 42(3): 145-175.
  11. Paya, L., Fenandez, L., Reinoso, O., Gil, A., and Ubeda, D. (2009). Appearance-based dense maps creation: Comparison of compression techniques with panoramic images. In 6th Int Conf on Informatics in Control, Automation and Robotics.
  12. Scaramuzza, D., Martinelli, A., and Siegwart, R. (2006). A flexible technique for accurate omnidirectional camera calibration and structure from motion. In Computer Vision Systems, 2006 ICVS 7806. IEEE International Conference on, page 45.
  13. Torralba, A. (2003). Contextual priming for object detection. In International Journal of Computer Vision, Vol. 53(2), 169-191.
  14. Woodman Labs, I. (2013). cameras/.
  15. http://gopro.com/hd-hero2-
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Paper Citation


in Harvard Style

Amoros F., Paya L., Reinoso O., Mayol-Cuevas W. and Calway A. (2013). Topological Map Building and Path Estimation Using Global-appearance Image Descriptors . In Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-8565-71-6, pages 385-392. DOI: 10.5220/0004485203850392


in Bibtex Style

@conference{icinco13,
author={Francisco Amoros and Luis Paya and Oscar Reinoso and Walterio Mayol-Cuevas and Andrew Calway},
title={Topological Map Building and Path Estimation Using Global-appearance Image Descriptors},
booktitle={Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2013},
pages={385-392},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004485203850392},
isbn={978-989-8565-71-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - Topological Map Building and Path Estimation Using Global-appearance Image Descriptors
SN - 978-989-8565-71-6
AU - Amoros F.
AU - Paya L.
AU - Reinoso O.
AU - Mayol-Cuevas W.
AU - Calway A.
PY - 2013
SP - 385
EP - 392
DO - 10.5220/0004485203850392