Title :
An improved Markov-based localization approach by using image quality evaluation
Author :
Gámez, José A. ; García-Varea, Ismael ; Martínez-Gómez, Jesùs
Author_Institution :
Comput. Syst. Dept., Univ. of Castilla-la Mancha, Albacete
Abstract :
This paper presents a new approach for the classical Markov localization method for mobile robots by using image quality evaluation. Machine learning techniques have been used to obtain the quality of the images. This quality value is used to select the best information source, between odometry and sensor information. Real experiments in different scenarios of the Robocup standard platform league are also presented.
Keywords :
Markov processes; distance measurement; learning (artificial intelligence); mobile robots; path planning; robot vision; Markov-based localization approach; Robocup standard platform league; image quality evaluation; machine learning; mobile robot; odometry; sensor information; Automatic control; Computer vision; Image quality; Machine learning; Mobile robots; Probability distribution; Robot sensing systems; Robot vision systems; Robotics and automation; Uncertainty; Markov models; Self-location; computer vision; four-legged robots;
Conference_Titel :
Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on
Conference_Location :
Hanoi
Print_ISBN :
978-1-4244-2286-9
Electronic_ISBN :
978-1-4244-2287-6
DOI :
10.1109/ICARCV.2008.4795698
