Automatic 3D city reconstruction platform using a LIDAR and DGPS

Angel Iván García-Moreno, José Joel Gonzalez-Barbosa, Francisco Javier Ornelas-Rodríguez, Juan Bautista Hurtado-Ramos, Alfonso Ramirez-Pedraza, Erick Alejandro González-Barbosa

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

3 Citas (Scopus)

Resumen

In this work an approach for geo-referenced 3D reconstruction of outdoor scenes using LIDAR (Light Detection And Ranging) and DGPS (Diferencial Global Positioning System) technologies is presented. We develop a computationally efficient method for 3D reconstruction of city-sized environments using both sensors providing an excellent base point for high-detail street views. In the proposed method, the translation between consecutive local maps is obtained using DGPS data and the rotation is obtained extracting correspondant planes of two point clouds and matching them, after extracting these parameters we merge many local scenes to obtain a global map. We validate the accuracy of the proposed method making a comparison between the reconstruction and real measures and plans of the scanned scene. The results show that the proposed system is a useful solution for 3D reconstruction of large scale city models.

Idioma originalInglés
Título de la publicación alojadaAdvances in Artificial Intelligence - 11th Mexican International Conference on Artificial Intelligence, MICAI 2012, Revised Selected Papers
Páginas285-297
Número de páginas13
EdiciónPART 1
DOI
EstadoPublicada - 2013
Evento11th Mexican International Conference on Artificial Intelligence, MICAI 2012 - San Luis Potosi, México
Duración: 27 oct. 20124 nov. 2012

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NúmeroPART 1
Volumen7629 LNAI
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia11th Mexican International Conference on Artificial Intelligence, MICAI 2012
País/TerritorioMéxico
CiudadSan Luis Potosi
Período27/10/124/11/12

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