Automobile indexation from 3D point clouds of urban scenarios
In this paper, we introduce a methodology for the detection and segmentation of automobiles in urban scenarios. We use the LiDAR Velodyne HDL-64E to scan the surroundings. The method is comprised of three steps: (1) remove facades, ground plan, and unstructured objects, (2) smoothing data using robu...
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Autores principales: | Ramirez-Pedraza Alfonso, González-Barbosa José-Joel, Ramirez-Pedraza Raymundo, González-Barbosa Erick-Alejandro, Hurtado-Ramos Juan-Bautista |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Taylor & Francis Group
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/6f587aebf158437986932597e6512b5a |
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