Uncertainty analysis of LIDAR and panoramic camera calibration

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2 Citas (Scopus)


Terrestrial platforms for 3D reconstruction typically combine several data acquisition systems such as lasers, cameras and inertial systems. However the geometrical combination of different sensors requires their calibration and data fusion. These topics are an important task for vision-based systems since it estimates the values of sensor model parameters, such as cameras. The uncertainty of these parameters must be known in order to evaluate the error of the final calibration and their applications. The aim of this paper is to present a method to compute the calibration of both sensors. A new calibration pattern, visible to both sensors is used. Correspondence is obtained between each laser point and its position in the image, the texture and color of each point of LIDAR can be know. Experimental results are presented for data collected with the platform integrated with a 3D laser scanner and a panoramic camera system.

Idioma originalInglés
Título de la publicación alojadaAETA 2013
Subtítulo de la publicación alojadaRecent Advances in Electrical Engineering and Related Sciences
EditorialSpringer Verlag
Número de páginas11
ISBN (versión impresa)9783642419676
EstadoPublicada - 2014
EventoInternational Conference on Advanced Engineering Theory and Applications 2013, AETA 2013 - Ho Chi Minh City, Vietnam
Duración: 10 dic 201313 dic 2013

Serie de la publicación

NombreLecture Notes in Electrical Engineering
Volumen282 LNEE
ISSN (versión impresa)1876-1100
ISSN (versión digital)1876-1119


ConferenciaInternational Conference on Advanced Engineering Theory and Applications 2013, AETA 2013
CiudadHo Chi Minh City


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