Oriented Planetary Exploration Robotic Vision Binocular Camera Calibration

Chen Gui, Jun Peng and Zuojin Li
Additional contact information
Chen Gui: Chongqing University of Science and Technology, Chongqing, China
Jun Peng: Chongqing University of Science and Technology, Chongqing, China
Zuojin Li: Chongqing University of Science and Technology, Chongqing, China

International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 2013, vol. 7, issue 4, 83-95

Abstract: One of the goals of planetary exploration is to cache rock samples for subsequent return to Earth in the future Mars Sample Return (MSR) mission. This paper presents a method of binocular camera calibration. Robotic vision has become a very popular field in recent years due to the numerous promising applications it may enhance. However, errors within the cameras and in their perception of their environment can cause applications in robotics to fail. To help correct these intrinsic and extrinsic imperfections, stereo camera calibrations are performed. There are currently many accurate methods of camera calibration available; however, most or all of them are barely theoretical and difficultly practical. Because the authors' robot need to accurately approach and placement scientific objects, in this paper the authors present an image rectification method that is an extension to two-step method. There is an additional step for correcting the distorted image coordinates. The image rectification is performed and accurately compensates for radial and tangential distortions. Finally, through Matlab tool developed the results of experiment are accurate and available.

Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 18/ijcini.2013100105 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jcini0:v:7:y:2013:i:4:p:83-95

Access Statistics for this article

International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) is currently edited by Kangshun Li

More articles in International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) from IGI Global
Bibliographic data for series maintained by Journal Editor ().