Experiments on mobile robot stereo vision system calibration under hardware imperfection

Calibration is essential for any robot vision system for achieving high accuracy in deriving objects metric information. One of typical requirements for a stereo vison system in order to obtain better calibration results is to guarantee that both cameras keep the same vertical level. However, camera...

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Main Authors: Safin Ramil, Lavrenov Roman, Saha Subir Kumar, Magid Evgeni
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201816103020
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author Safin Ramil
Lavrenov Roman
Saha Subir Kumar
Magid Evgeni
author_facet Safin Ramil
Lavrenov Roman
Saha Subir Kumar
Magid Evgeni
author_sort Safin Ramil
collection DOAJ
description Calibration is essential for any robot vision system for achieving high accuracy in deriving objects metric information. One of typical requirements for a stereo vison system in order to obtain better calibration results is to guarantee that both cameras keep the same vertical level. However, cameras may be displaced due to severe conditions of a robot operating or some other circumstances. This paper presents our experimental approach to the problem of a mobile robot stereo vision system calibration under a hardware imperfection. In our experiments, we used crawler-type mobile robot «Servosila Engineer». Stereo system cameras of the robot were displaced relative to each other, causing loss of surrounding environment information. We implemented and verified checkerboard and circle grid based calibration methods. The two methods comparison demonstrated that a circle grid based calibration should be preferred over a classical checkerboard calibration approach.
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spelling doaj.art-25171f852be84a9eb60253e7a667e6842022-12-21T23:38:18ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-011610302010.1051/matecconf/201816103020matecconf_erzr2018_03020Experiments on mobile robot stereo vision system calibration under hardware imperfectionSafin RamilLavrenov RomanSaha Subir KumarMagid EvgeniCalibration is essential for any robot vision system for achieving high accuracy in deriving objects metric information. One of typical requirements for a stereo vison system in order to obtain better calibration results is to guarantee that both cameras keep the same vertical level. However, cameras may be displaced due to severe conditions of a robot operating or some other circumstances. This paper presents our experimental approach to the problem of a mobile robot stereo vision system calibration under a hardware imperfection. In our experiments, we used crawler-type mobile robot «Servosila Engineer». Stereo system cameras of the robot were displaced relative to each other, causing loss of surrounding environment information. We implemented and verified checkerboard and circle grid based calibration methods. The two methods comparison demonstrated that a circle grid based calibration should be preferred over a classical checkerboard calibration approach.https://doi.org/10.1051/matecconf/201816103020
spellingShingle Safin Ramil
Lavrenov Roman
Saha Subir Kumar
Magid Evgeni
Experiments on mobile robot stereo vision system calibration under hardware imperfection
MATEC Web of Conferences
title Experiments on mobile robot stereo vision system calibration under hardware imperfection
title_full Experiments on mobile robot stereo vision system calibration under hardware imperfection
title_fullStr Experiments on mobile robot stereo vision system calibration under hardware imperfection
title_full_unstemmed Experiments on mobile robot stereo vision system calibration under hardware imperfection
title_short Experiments on mobile robot stereo vision system calibration under hardware imperfection
title_sort experiments on mobile robot stereo vision system calibration under hardware imperfection
url https://doi.org/10.1051/matecconf/201816103020
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AT lavrenovroman experimentsonmobilerobotstereovisionsystemcalibrationunderhardwareimperfection
AT sahasubirkumar experimentsonmobilerobotstereovisionsystemcalibrationunderhardwareimperfection
AT magidevgeni experimentsonmobilerobotstereovisionsystemcalibrationunderhardwareimperfection