Novel design for real time path tracking with computer vision using neural networks Online publication date: Fri, 21-Jan-2011
by Abhinav Agarwal, Sanketh Datla, Barjeev Tyagi, Rajdeep Niyogi
International Journal of Computational Vision and Robotics (IJCVR), Vol. 1, No. 4, 2010
Abstract: Accurate localisation and mapping is a problem of great interest and significance in mobile robotics. In most of the cases, the environment is unstructured and is unknown beforehand. Building an autonomous robot in the real time environment is quite challenging and requires modelling and investigation. In this paper, the path tracking by using computer vision techniques in robotics is employed. Attempt is made to make the robot completely autonomous and to control it from remote locations. A robotic car has been constructed and image processing operations like wiener filtering, thresholding and Hough transforms have been applied. Introduction of neural networks gives it an autonomous sense. Wireless communication is implemented to accomplish the above desired task in real time. A novel approach to steer the robot using stepper motor is designed and implemented by transmitting the control commands wirelessly.
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