An improved Markov-based localization approach by using image quality evaluation
José Antonio Gámez, Ismael García-Varea, Jesús Martínez-Gómez · 2008
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.