Visual Homing: Surfing on the Epipoles
International Journal of Computer Vision
International Journal of Computer Vision - Special issue on image-based servoing
Learning View Graphs for Robot Navigation
Autonomous Robots - Special issue on autonomous agents
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
A Simple Technique for Improving Camera Displacement Estimation in Eye-in-Hand Visual Servoing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robot Homing by Exploiting Panoramic Vision
Autonomous Robots
Switching visual control based on epipoles for mobile robots
Robotics and Autonomous Systems
Indoor navigation of a non-holonomic mobile robot using a visual memory
Autonomous Robots
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Parking with the essential matrix without short baseline degeneracies
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Visual Servoing via Advanced Numerical Methods
Visual Servoing via Advanced Numerical Methods
Homography-based control scheme for mobile robots with nonholonomic and field-of-view constraints
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
Homography-based visual servo tracking control of a wheeled mobile robot
IEEE Transactions on Robotics
Homography-based visual servo regulation of mobile robots
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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A new smooth closed loop time invariant control law is proposed for the exponential stabilization of mobile robots with nonholonomic motion constraints. The control scheme relies solely on visual information and includes an observer for the system state estimation by means of the essential matrix. The problem of model degeneracies due to short baseline is solved with the definition of a virtual target that provides a stable estimation of the essential matrix. The novelty of this paper lies in the new vision-based control scheme with state observer which is robust, ensuring convergence to the target location. The stability of the system under the proposed control law is demonstrated and experimental results show the goodness of the approach.