The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Computationally Efficient Method for Large-Scale Concurrent Mapping and Localization
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Citations
Cites
A solution to the simultaneous localization and map building (SLAM) problem
Dissanayake, M. W. M. G., Newman, P., Clark, S., Durrant-Whyte, H. F., & Csorba, M. (2001) · IEEE Transactions on Robotics and Automation · doi:10.1109/70.938381 · Cited by 2,661
Cited by
Simultaneous localization and mapping: part I
Durrant-Whyte, H., & Bailey, T. (2006) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2006.1638022 · Cited by 4,199
Coordinated multi-robot exploration
Burgard, W., Moors, M., Stachniss, C., & Schneider, F. E. (2005) · IEEE Transactions on Robotics · doi:10.1109/tro.2004.839232 · Cited by 1,177
Simultaneous Localization and Mapping: A Survey of Current Trends in Autonomous Driving
Bresson, G., Alsayed, Z., Yu, L., & Glaser, S. (2017) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2017.2749181 · Cited by 885
Data association in stochastic mapping using the joint compatibility test
Neira, J., & Tardos, J. D. (2001) · IEEE Transactions on Robotics and Automation · doi:10.1109/70.976019 · Cited by 772
Guivant, J. E., & Nebot, E. M. (2001) · IEEE Transactions on Robotics and Automation · doi:10.1109/70.938382 · Cited by 772
Metadata
- Authors
- Leonard, J. J., & Feder, H. J. S.
- Venue
- Robotics Research
- Publisher
- Springer London
- Published
- 2000
- Pages
- 169-176
- OpenAlex
- W1571286754
- Cited by
- 267
- References
- 1
- FWCI
- 70.14
- Type
- book chapter
- Language
- en
- Open access
- closed
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- The paper
- Leonard, J. J., & Feder, H. J. S. (2000). A Computationally Efficient Method for Large-Scale Concurrent Mapping and Localization. Robotics Research. https://doi.org/10.1007/978-1-4471-0765-1_21
Data sources
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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
