The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Dynamic Map Building for an Autonomous Mobile Robot
Abstract
This article presents an algorithm for autonomous map building and maintenance for a mobile robot. We believe that mobile robot navigation can be treated as a problem of tracking ge ometric features that occur naturally in the environment. We represent each feature in the map by a location estimate (the feature state vector) and two distinct measures of uncertainty: a covariance matrix to represent uncertainty in feature loca tion, and a credibility measure to represent our belief in the validity of the feature. During each position update cycle, pre dicted measurements are generated for each geometric feature in the map and compared with actual sensor observations. Suc cessful matches cause a feature's credibility to be increased. Unpredicted observations are used to initialize new geometric features, while unobserved predictions result in a geometric feature's credibility being decreased. We describe experimental results obtained with the algorithm that demonstrate successful map building using real sonar data.
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Cited by
Robust Monte Carlo localization for mobile robots
Thrun, S., Fox, D., Burgard, W., & Dellaert, F. (2001) · Artificial Intelligence · doi:10.1016/s0004-3702(01)00069-8 · Cited by 1,809
Globally Consistent Range Scan Alignment for Environment Mapping
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iSAM: Incremental Smoothing and Mapping
Kaess, M., Ranganathan, A., & Dellaert, F. (2008) · IEEE Transactions on Robotics · doi:10.1109/tro.2008.2006706 · Cited by 1,076
Square Root SAM: Simultaneous Localization and Mapping via Square Root Information Smoothing
Dellaert, F., & Kaess, M. (2006) · The International Journal of Robotics Research · doi:10.1177/0278364906072768 · Cited by 922
Autonomous vehicle perception: The technology of today and tomorrow
Van Brummelen, J., O’Brien, M., Gruyer, D., & Najjaran, H. (2018) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2018.02.012 · Cited by 869
Metadata
- Authors
- Leonard, J. J., Durrant-Whyte, H. F., & Cox, I. J.
- Venue
- The International Journal of Robotics Research
- Publisher
- SAGE Publications
- Published
- 1992-08
- Volume
- 11
- Issue
- 4
- Pages
- 286-298
- ISSN
- 0278-3649 (ISSN-L)
- 1741-3176
- OpenAlex
- W2007635681
- Cited by
- 414
- References
- 21
- FWCI
- 23.37
- Type
- journal article
- Language
- en
- Open access
- closed
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