Characterization of Multiple 3D LiDARs for Localization and Mapping Performance using the NDT Algorithm

Research article (2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops), 2021) · cited 20× · AI/ML
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Characterization of Multiple 3D LiDARs for Localization and Mapping Performance using the NDT Algorithm

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Characterization of Multiple 3D LiDARs for Localization and Mapping Performance using the NDT Algorithm is a scholarly article[1].

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  • Characterization of Multiple 3D LiDARs for Localization and Mapping Performance using the NDT Algorithm's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Characterization of Multiple 3D LiDARs for Localization and Mapping Performance using the NDT Algorithm. Retrieved May 24, 2026, from https://4ort.xyz/entity/characterization-of-multiple-3d-lidars-for-localization-and-mapping-performance-using-the-ndt-algorithm
MLA “Characterization of Multiple 3D LiDARs for Localization and Mapping Performance using the NDT Algorithm.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/characterization-of-multiple-3d-lidars-for-localization-and-mapping-performance-using-the-ndt-algorithm.
BibTeX @misc{4ortxyz_characterization-of-multiple-3d-lidars-for-localization-and-mapping-performance-using-the-ndt-algorithm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Characterization of Multiple 3D LiDARs for Localization and Mapping Performance using the NDT Algorithm}}, year = {2026}, url = {https://4ort.xyz/entity/characterization-of-multiple-3d-lidars-for-localization-and-mapping-performance-using-the-ndt-algorithm}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Characterization of Multiple 3D LiDARs for Localization and Mapping Performance using the NDT Algorithm — https://4ort.xyz/entity/characterization-of-multiple-3d-lidars-for-localization-and-mapping-performance-using-the-ndt-algorithm (retrieved 2026-05-24)

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