Map-Matching Algorithms for Robot Self-Localization: A Comparison Between Perfect Match, Iterative Closest Point and Normal Distributions Transform

Research article (Journal of Intelligent & Robotic Systems, 2018) · cited 87× · AI/ML
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Map-Matching Algorithms for Robot Self-Localization: A Comparison Between Perfect Match, Iterative Closest Point and Normal Distributions Transform

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Map-Matching Algorithms for Robot Self-Localization: A Comparison Between Perfect Match, Iterative Closest Point and Normal Distributions Transform is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Map-Matching Algorithms for Robot Self-Localization: A Comparison Between Perfect Match, Iterative Closest Point and Normal Distributions Transform. Retrieved May 24, 2026, from https://4ort.xyz/entity/map-matching-algorithms-for-robot-self-localization-a-comparison-between-perfect-match-iterative-closest-point-and-norma
MLA “Map-Matching Algorithms for Robot Self-Localization: A Comparison Between Perfect Match, Iterative Closest Point and Normal Distributions Transform.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/map-matching-algorithms-for-robot-self-localization-a-comparison-between-perfect-match-iterative-closest-point-and-norma.
BibTeX @misc{4ortxyz_map-matching-algorithms-for-robot-self-localization-a-comparison-between-perfect-match-iterative-closest-point-and-norma_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Map-Matching Algorithms for Robot Self-Localization: A Comparison Between Perfect Match, Iterative Closest Point and Normal Distributions Transform}}, year = {2026}, url = {https://4ort.xyz/entity/map-matching-algorithms-for-robot-self-localization-a-comparison-between-perfect-match-iterative-closest-point-and-norma}, note = {Accessed: 2026-05-24}}
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