LIDAR and panoramic camera extrinsic calibration approach using a pattern plane

Angel Iván García-Moreno, José Joel Gonzalez-Barbosa, Francisco Javier Ornelas-Rodriguez, Juan B. Hurtado-Ramos, Marco Neri Primo-Fuentes

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

19 Scopus citations


Mobile platforms typically combine several data acquisition systems such as lasers, cameras and inertial systems. However the geometrical combination of the different sensors requires their calibration, at least, through the definition of the extrinsic parameters, i.e., the transformation matrices that register all sensors in the same coordinate system. Our system generate an accurate association between platform sensors and the estimated parameters including rotation, translation, focal length, world and sensors reference frame. The extrinsic camera parameters are computed by Zhang's method using a pattern composed of white rhombus and rhombus holes, and the LIDAR with the results of previous work. Points acquired by the LIDAR are projected into images acquired by the Ladybug cameras. 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.

Original languageEnglish
Title of host publicationPattern Recognition - 5th Mexican Conference, MCPR 2013, Proceedings
Number of pages10
StatePublished - 2013
Event5th Mexican Conference on Pattern Recognition, MCPR 2013 - Queretaro, Mexico
Duration: 26 Jun 201329 Jun 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7914 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference5th Mexican Conference on Pattern Recognition, MCPR 2013


  • extrinsic calibration
  • panoramic camera
  • sensor calibration


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