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Cited by 210

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Evaluation of 3D registration reliability and speed - A comparison of ICP and NDT

Open access
Magnusson, M., Nuchter, A., Lorken, C., Lilienthal, A.J., Hertzberg, J.·2009·2009 IEEE International Conference on Robotics and Automation

Abstract

To advance robotic science it is important to perform experiments that can be replicated by other researchers to compare different methods. However, these comparisons tend to be biased, since re-implementations of reference methods often lack thoroughness and do not include the hands-on experience obtained during the original development process. This paper presents a thorough comparison of 3D scan registration algorithms based on a 3D mapping field experiment, carried out by two research groups that are leading in the field of 3D robotic mapping. The iterative closest points algorithm (ICP) is compared to the normal distributions transform (NDT). We also present an improved version of NDT with a substantially larger valley of convergence than previously published versions.

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Metadata

Authors
Magnusson, M., Nuchter, A., Lorken, C., Lilienthal, A. J., & Hertzberg, J.
Venue
2009 IEEE International Conference on Robotics and Automation
Publisher
IEEE
Published
2009-05
Pages
3907-3912
ISSN
1050-4729 (ISSN-L)
OpenAlex
W2145178709
Cited by
210
References
1
FWCI
12.40
Type
conference paper
Language
en
Open access
green

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CoChat. (2026). Citation check: Evaluation of 3D registration reliability and speed - A comparison of ICP and NDT. https://app.cochat.ai/papers/10.1109/robot.2009.5152538
The paper
Magnusson, M., Nuchter, A., Lorken, C., Lilienthal, A. J., & Hertzberg, J. (2009). Evaluation of 3D registration reliability and speed - A comparison of ICP and NDT. 2009 IEEE International Conference on Robotics and Automation. https://doi.org/10.1109/robot.2009.5152538

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.