Guedea Elizalde, Federico2015-08-172015-08-172010-12-01http://hdl.handle.net/11285/569972The main objective of this thesis is the implementation of an autonomous robot that is capable of following a road w i t h the use of a stereocamera. The use of vision i n 3D is a trend i n many vision applications, and we would like to adopt it for autonomous vehicle navigation. Road following requires two crucial steps: the road recognition and the control of the speed and steering of the vehicle. To reach controllability i n these type of robots it is necessary to detect the road and make the image processing to calculate the manipulations needed to keep the robot i n the desired position and path. It can be said that vision systems are a very important factor i n the development of autonomous vehicles because they are the sensors of the robot; therefore, the image processing needs to be done on time i n order to detect the road and let the entire system to be controllable. Through this thesis, various techniques i n different areas such as road detection, image processing and fuzzy control theory will be examined i n order to achieve the objective.info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0Area::INGENIERÍA Y TECNOLOGÍA::CIENCIAS TECNOLÓGICAS::TECNOLOGÍA DE LA INSTRUMENTACIÓN::TECNOLOGÍA DE LA AUTOMATIZACIÓNStereovision Feedback and Fuzzy Control for Autonomous Robot Navigation-Edición ÚnicaTesis de maestría