Stochastic reasoning for structural pattern recognition: An example from image-based UAV navigation
By simulating unmanned air vehicle navigation a perception-action loop is closed. A virtual globe system is used as approximate open world. Recognition of landmarks (bridges) is performed by a knowledge-based system. EM estimation for assessing the recognition likelihood. Inlier/outlier mixture is insufficientintermediates are required.
structural pattern recognition uav navigation decision rationales expectationmaximization