This paper deals with the problem of incorporating natural regularity conditions on the motion in an MAP estimator for structure and motion recovery from uncalibrated image sequen...
We propose a solution to the problem of inferring the depth map, radiance and motion of a scene from a collection of motion-blurred and defocused images. We model motion-blur and d...
We propose a new model for the probabilistic estimation of continuous state variables from a sequence of observations, such as tracking the position of an object in video. This ma...
– This paper presents a localization strategy for vehicles in urban environments by mapping and updating natural landmarks provided by a 2D ladar (laser range scanner) when GPS d...
We have recently shown how use cases can be systematically transformed into UML state charts considering all relevant information from a use case specification, including pre- and ...