Semantic 3D Object Maps for Everyday Manipulation in Human Living Environments
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
Traditional 3D object detection methods often use euclidean clustering or region-growing methods for grouping points into objects.
“Traditional methods often use euclidean clustering [160] or region-growing methods [161] for grouping points into objects.”
From A Survey of Autonomous Driving: <i>Common Practices and Emerging Technologies</i> (2020) · cites this paper as [161]
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A Survey of Autonomous Driving: <i>Common Practices and Emerging Technologies</i>
Yurtsever, E., Lambert, J., Carballo, A., & Takeda, K. (2020) · IEEE Access · doi:10.1109/access.2020.2983149 · Cited by 1,889 · see citing works
“Traditional methods often used euclidean clustering [158] or region-growing methods [159] for grouping points into objects.”
Perception, Planning, Control, and Coordination for Autonomous Vehicles
Pendleton, S., Andersen, H., Du, X., Shen, X., Meghjani, M., Eng, Y., Rus, D., & Ang, M. (2017) · Machines · doi:10.3390/machines5010006 · Cited by 657 · see citing works
Deep multimodal embedding: Manipulating novel objects with point-clouds, language and trajectories
Sung, J., Lenz, I., & Saxena, A. (2017) · 2017 IEEE International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra.2017.7989325 · Cited by 26 · see citing works
- Authors
- Rusu, R. B.
- Affiliations
- Technical University of Munich (DE)
- Corresponding author
- Rusu, Radu Bogdan
- Venue
- KI - Künstliche Intelligenz
- Published
- 2010-08-17
- Volume
- 24
- Issue
- 4
- Pages
- 345-348
- ISSN
- 0933-1875 (ISSN-L)
- 1610-1987
- OpenAlex
- W2074658631
- Cited by
- 938
- References
- 0
- Citations by year
- 2026: 17 · 2025: 42 · 2024: 67 · 2023: 55 · 2022: 48 · 2021: 66 · 2020: 88 · 2019: 93 · 2018: 83 · 2017: 71 · 2016: 87 · 2015: 75 · 2014: 74 · 2013: 45 · 2012: 23
- FWCI
- 38.21
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Künstliche Intell. (publishedVersion)
- mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Robot Manipulation and Learning
- Physical Sciences › Engineering › Computational Mechanics › 3D Shape Modeling and Analysis
- Physical Sciences › Engineering › Aerospace Engineering › Robotics and Sensor-Based Localization
- Keywords
- robot environment modeling, 3D object recognition, autonomous robots, human living environment, object 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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