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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...
People tracking and localization in situations with coexisting service robots is a challenging task due to the non-rigid nature of human body, complex background and frequent occlusions among people and robots. A multi-view approach is proposed to people-tracking and localization whilst the robotpsilas capability of perceiving environment is utilized. Initiated by person detection, tracking within...
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