Abstract
In this paper we consider the effect that techniques designed to deal with the problems of redundant information and erroneous sensory data have on the results of robotic mapping. We accomplish this by evaluating several configurations of these techniques using identical test data. Through evaluating the results of these experiments using an extensible benchmarking suite, that our group has developed, we outline which technique yields the greatest environmental representational gain.
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References
Moravec, H., Elfes, A.: High resolution maps from wide angle sonar. In: Proceedings of the 1985 IEEE International Conference on Robotics and Automation (1985)
Thrun, S.: Robotic mapping: A survey. In: Lakemeyer, G., Nebel, B. (eds.) Exploring Artificial Intelligence in the New Millenium. Morgan Kaufmann, San Francisco (2002)
Konolige, K.: Improved occupancy grids for map building. Autonomous Robots, 351–367 (1997)
O’Sullivan, S., Collins, J.J., Mansfield, M., Haskett, D., Eaton, M.: Linear feature prediction for confidence estimation of sonar readings in map building. In: Proceedings Ninth International Symposium on Artificial Life and Robots, Oita, Japan (2004)
Thrun, S.: Exploration and model building in mobile robot domains. In: Proceedings of IEEE International Conference on Neural Networks, Seattle, Washington, USA, IEEE neural Network Council, pp. 175–180 (1993)
Matthies, L., Elfes, A.: Integration of sonar and stereo range data using a grid-based representation. In: Proceedings of the 1988 IEEE International Conference on Robotics and Automation (1988)
O’Sullivan, S.: An empirical evaluation of map building methodologies in mobile robotics using the feature prediction sonar noise filter and metric grid map benchmarking suite. Master’s thesis, University of Limerick (2003)
Collins, J., O’Sullivan, S., Mansfield, M., Eaton, M., Haskett, D.: Developing an extensible benchmarking framework for map building paradigms. In: Proceedings Ninth International Symposium on Artificial Life and Robots, Oita, Japan (2004)
Baron, R.J.: Mechanisms of human facial recognition. International journal of man machine studdies 15, 137–178 (1981)
Martin, M.C., Moravec, H.: Robot evidence grids. Technical Report CMU-RI-TR-96-06, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA (1996)
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© 2005 Springer-Verlag Berlin Heidelberg
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Collins, T., Collins, J.J., Mansfield, M., O’Sullivan, S. (2005). Evaluating Techniques for Resolving Redundant Information and Specularity in Occupancy Grids. In: Zhang, S., Jarvis, R. (eds) AI 2005: Advances in Artificial Intelligence. AI 2005. Lecture Notes in Computer Science(), vol 3809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11589990_26
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DOI: https://doi.org/10.1007/11589990_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30462-3
Online ISBN: 978-3-540-31652-7
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