Self-localization of a mobile robot without camera calibration using projective invariants

2000 ◽  
Vol 21 (1) ◽  
pp. 45-60 ◽  
Author(s):  
Wang-Heun Lee ◽  
Kyoung-Sig Roh ◽  
In-So Kweon
Keyword(s):  
Mobile Robot ◽  
Camera Calibration ◽  
Projective Invariants

Uncalibrated Vision-Based Control of Two-Wheeled Mobile Robots

2001 ◽  
Author(s):  
Jenelle Armstrong Piepmeier ◽  
Peter A. Morgan
Keyword(s):  
Mobile Robot ◽  
Mobile Robots ◽  
Newton Method ◽  
Camera Calibration ◽  
Visual Feedback ◽  
Robot Kinematics ◽  
Moving Target ◽  
Controllable System ◽  
Wheeled Mobile Robots ◽  
Quasi Newton

Abstract An quasi-Newton method with Jacobian estimation is used to control a mobile robot utilizing visual feedback. The method is uncalibrated, requiring no camera calibration or known robot kinematics. Given a proper task configuration, the robot can be controlled such that it follows a moving target. This paper investigates the appropriate task configurations that result in a controllable system.

scholarly journals Camera Calibration Using Projective Invariants of Sphere Images

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 28324-28336
Author(s):  
Fengli Yang ◽  
Yue Zhao ◽  
Xuechun Wang
Keyword(s):  
Camera Calibration ◽  
Projective Invariants

Camera calibration for a mobile robot prototype

2003 ◽  
Vol 7 (3) ◽  
pp. 91-94 ◽  
Author(s):  
J. Wang ◽  
M. Sugisaka
Keyword(s):  
Mobile Robot ◽  
Camera Calibration
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