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Estimating uncertain spatial relationships in robotics

Smith, R., Self, M., Cheeseman, P.·2005·Proceedings. 1987 IEEE International Conference on Robotics and Automation

Abstract

In this paper, we describe a representation for spatial information, called the stochastic map, and associated procedures for building it, reading information from it, and revising it incrementally as new information is obtained.The map contains the estimates of relationships among objects in the map, and their uncertainties, given all the available information.The procedures provide a general solution to the problem of estimating uncertain relative spatial relationships.The estimates are probabilistic in nature, an advance over the previous, very conservative, worst-case approaches to the problem.Finally, the procedures are developed in the context of state-estimation and filtering theory, which provides a solid basis for numerous extensions.

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Metadata

Authors
Smith, R., Self, M., & Cheeseman, P.
Venue
Proceedings. 1987 IEEE International Conference on Robotics and Automation
Published
2005-03-23
Volume
4
Pages
850-850
ISSN
1050-4729 (ISSN-L)
OpenAlex
W2173782939
Cited by
757
References
0
FWCI
139.80
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Estimating uncertain spatial relationships in robotics. https://app.cochat.ai/papers/10.1109/robot.1987.1087846
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Smith, R., Self, M., & Cheeseman, P. (2005). Estimating uncertain spatial relationships in robotics. Proceedings. 1987 IEEE International Conference on Robotics and Automation. https://doi.org/10.1109/robot.1987.1087846

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