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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Veröffentlicht in:	Automatika 2021-10, Vol.62 (3-4), p.311-318
Hauptverfasser:	Alfonso, Ramirez-Pedraza, José-Joel, González-Barbosa, Raymundo, Ramirez-Pedraza, Erick-Alejandro, González-Barbosa, Juan-Bautista, Hurtado-Ramos
Format:	Artikel
Sprache:	eng
Schlagworte:	3D points cloud Automobile indexation Automobiles Calibration Data smoothing Global positioning systems GPS Histograms indexing Principal components analysis Segmentation Sensors Three dimensional models Unstructured data
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