Reliable automatic camera-laser calibration

Kassir, Abdallah & Peynot, Thierry (2010) Reliable automatic camera-laser calibration. In Wyeth, Gordon & Upcroft, Ben (Eds.) Proceedings of the 2010 Australasian Conference on Robotics & Automation, ARAA, Brisbane, Queensland.

View at publisher (open access)


Camera-laser calibration is necessary for many robotics and computer vision applications. However, existing calibration toolboxes still require laborious effort from the operator in order to achieve reliable and accurate results. This paper proposes algorithms that augment two existing trustful calibration methods with an automatic extraction of the calibration object from the sensor data. The result is a complete procedure that allows for automatic camera-laser calibration. The first stage of the procedure is automatic camera calibration which is useful in its own right for many applications. The chessboard extraction algorithm it provides is shown to outperform openly available techniques. The second stage completes the procedure by providing automatic camera-laser calibration. The procedure has been verified by extensive experimental tests with the proposed algorithms providing a major reduction in time required from an operator in comparison to manual methods.

Impact and interest:

27 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

240 since deposited on 06 Mar 2014
54 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 67618
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: calibration, cameras, laser range finder
ISBN: 9780980740417
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2010 Please consult the authors
Deposited On: 06 Mar 2014 01:39
Last Modified: 26 Jun 2017 14:06

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page