Mobile Robot Simultaneous Localization and Mapping in Dynamic Environments
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Early approaches to mapping of dynamic environments were object-centric methods that identified and removed moving objects from maps or used them as moving landmarks for self-localisation.
“Early approaches to mapping of dynamic environments were object-centric methods that identified and removed moving objects from the maps [214] or used them as moving landmarks for self-localisation [215].”
From Applications and Challenges of Artificial Intelligence in Space Missions (2024) · cites this paper as [215]
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 · see citing works
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Visual Place Recognition: A Survey
Lowry, S., Sünderhauf, N., Newman, P., Leonard, J. J., Cox, D., Corke, P., & Milford, M. J. (2016) · IEEE Transactions on Robotics · doi:10.1109/tro.2015.2496823 · Cited by 1,079 · see citing works
Simultaneous Localization, Mapping and Moving Object Tracking
Wang, C.-C., Thorpe, C., Thrun, S., Hebert, M., & Durrant-Whyte, H. (2007) · The International Journal of Robotics Research · doi:10.1177/0278364907081229 · Cited by 596 · see citing works
Model-free detection and tracking of dynamic objects with 2D lidar
Wang, D. Z., Posner, I., & Newman, P. (2015) · The International Journal of Robotics Research · doi:10.1177/0278364914562237 · Cited by 73 · see citing works
Applications and Challenges of Artificial Intelligence in Space Missions
Oche, P. A., Ewa, G. A., & Ibekwe, N. (2024) · IEEE Access · doi:10.1109/access.2021.3132500 · Cited by 68 · see citing works
“Early approaches to mapping of dynamic environments were object-centric methods that identified and removed moving objects from the maps [214] or used them as moving landmarks for self-localisation [215].”
BackgroundLong-term topological localisation for service robots in dynamic environments using spectral maps
Krajnik, T., Fentanes, J. P., Mozos, O. M., Duckett, T., Ekekrantz, J., & Hanheide, M. (2014) · 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems · doi:10.1109/iros.2014.6943205 · Cited by 40 · see citing works
- Authors
- Wolf, D. F., & Sukhatme, G. S.
- Affiliations
- University of Southern California (US)
- Corresponding author
- Wolf, Denis F.
- ORCID
- Sukhatme, Gaurav S.
- Venue
- Autonomous Robots
- Published
- 2005-07
- Volume
- 19
- Issue
- 1
- Pages
- 53-65
- ISSN
- 0929-5593 (ISSN-L)
- 1573-7527
- OpenAlex
- W2149916176
- Cited by
- 248
- References
- 1
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 7 · 2023: 10 · 2022: 5 · 2021: 9 · 2020: 15 · 2019: 13 · 2018: 16 · 2017: 8 · 2016: 14 · 2015: 27 · 2014: 15 · 2013: 10 · 2012: 14
- FWCI
- 30.97
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Autonomous Robots (publishedVersion)
- Funders
- National Aeronautics and Space Administration
- University of Southern California
- Defense Advanced Research Projects Agency
- Topics
- Physical Sciences › Engineering › Aerospace Engineering › Robotics and Sensor-Based Localization
- Physical Sciences › Computer Science › Artificial Intelligence › Reinforcement Learning in Robotics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Robotic Path Planning Algorithms
- Keywords
- SLAM, mobile robots, dynamic environments, occupancy grid, landmark-based localization, map representation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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