The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Mobile robot localization using landmarks
Abstract
We describe an efficient method for localizing a mobile robot in an environment with landmarks. We assume that the robot can identify these landmarks and measure their bearings relative to each other. Given such noisy input, the algorithm estimates the robot's position and orientation with respect to the map of the environment. The algorithm makes efficient use of our representation of the landmarks by complex numbers. The algorithm runs in time linear in the number of landmarks. We present results of simulations and propose how to use our method for robot navigation.
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Cites
Introduction to Robotics mechanics and Control
Craig, J. (1986) · Cited by 5,024
Introduction to robotics: Mechanics and control
Merat, F. (1987) · IEEE Journal on Robotics and Automation · doi:10.1109/jra.1987.1087086 · Cited by 2,398
Linear Algebra and Its Applications
I., E., & Strang, G. (1976) · Mathematics of Computation · doi:10.2307/2005411 · Cited by 1,871
On the Representation and Estimation of Spatial Uncertainty
Smith, R. C., & Cheeseman, P. (1986) · The International Journal of Robotics Research · doi:10.1177/027836498600500404 · Cited by 1,579
Sonar-based real-world mapping and navigation
Elfes, A. (1987) · IEEE Journal on Robotics and Automation · doi:10.1109/jra.1987.1087096 · Cited by 1,397
Simultaneous map building and localization for an autonomous mobile robot
Leonard, J. J., & Durrant-Whyte, H. F. (2002) · Proceedings IROS '91:IEEE/RSJ International Workshop on Intelligent Robots and Systems '91 · doi:10.1109/iros.1991.174711 · Cited by 805
Regression and the Moore-Penrose Pseudoinverse.
Troskie, C. G., & Albert, A. (1975) · Journal of the American Statistical Association · doi:10.2307/2285416 · Cited by 620
Position referencing and consistent world modeling for mobile robots
Chatila, R., & Laumond, J. (2005) · Proceedings. 1985 IEEE International Conference on Robotics and Automation · doi:10.1109/robot.1985.1087373 · Cited by 567
Error modeling in stereo navigation
Matthies, L., & Shafer, S. (1987) · IEEE Journal on Robotics and Automation · doi:10.1109/jra.1987.1087097 · Cited by 509
World modeling and position estimation for a mobile robot using ultrasonic ranging
Crowley, J. L. (2003) · Proceedings, 1989 International Conference on Robotics and Automation · doi:10.1109/robot.1989.100062 · Cited by 466
Cited by
A review of mobile robots: Concepts, methods, theoretical framework, and applications
Rubio, F., Valero, F., & Llopis-Albert, C. (2019) · International Journal of Advanced Robotic Systems · doi:10.1177/1729881419839596 · Cited by 763
The 2017 IEEE International Conference on Fuzzy Systems
(2016) · IEEE Computational Intelligence Magazine · doi:10.1109/mci.2016.2545826 · Cited by 308
Rover navigation using stereo ego-motion
Olson, C. F., Matthies, L. H., Schoppers, M., & Maimone, M. W. (2003) · Robotics and Autonomous Systems · doi:10.1016/s0921-8890(03)00004-6 · Cited by 250
Metadata
- Authors
- Betke, M., & Gurvits, L.
- Venue
- IEEE Transactions on Robotics and Automation
- Published
- 1997-04
- Volume
- 13
- Issue
- 2
- Pages
- 251-263
- ISSN
- 1042-296X (ISSN-L)
- OpenAlex
- W2159456898
- Cited by
- 508
- References
- 21
- FWCI
- 31.10
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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