Self-positioning of a mobile robot using a vision system and image overlay with VRML

2005 ◽  
Author(s):  
Bang Hyun Kwon ◽  
Eun Ho Son ◽  
Sung Goo Yoo ◽  
Kil To Chong
Keyword(s):  
Mobile Robot ◽  
Vision System ◽  
Image Overlay

Navigation System for Olfactory Mobile Robot by Using Machine Vision System

2021 ◽  
Author(s):  
Gamma Aditya Rahardi ◽  
Khairul Anam ◽  
Ali Rizal Chaidir ◽  
Devita Ayu Larasati
Keyword(s):  
Machine Vision ◽  
Mobile Robot ◽  
Navigation System ◽  
Vision System ◽  
Machine Vision System

scholarly journals Experiments on mobile robot stereo vision system calibration under hardware imperfection

2018 ◽  
Vol 161 ◽  
pp. 03020 ◽  
Author(s):  
Ramil Safin ◽  
Roman Lavrenov ◽  
Subir Kumar Saha ◽  
Evgeni Magid
Keyword(s):  
Mobile Robot ◽  
Stereo Vision ◽  
Experimental Approach ◽  
Vision System ◽  
Robot Vision ◽  
System Calibration ◽  
Stereo Vision System ◽  
Calibration Methods ◽  
Vertical Level ◽  
Grid Based

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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