Markov Decision Processes: Discrete Stochastic Dynamic Programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Homography-based 2D Visual Tracking and Servoing
International Journal of Robotics Research
Enhancing the point feature tracker by adaptive modelling of the feature support
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
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Many high level navigation methods exists for autonomous rovers. Usually, fixed methods is choosen for the rover to follow its trajectory. In some cases, a rover can have several embedded navigation methods, but there is currently no automatic approach to select the best method. In this paper, we propose an automatic navigation method selector using Markov Decision Process (MDP) framework. Navigation method are modelized in the MDP transitions functions. Results we achieved were promissing.