Browsing by Author "Varkonyi-koczy, A. R."
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- A hybrid autonomous robot navigation method based on artificial intelligence and soft computing techniquesPublication . Kiss, L.; Varkonyi-koczy, A. R.; Ruano, M. GraçaThe main problem to be solved for autonomous indoor robots is that the environment where they have to move safety is only partially known and possibly dynamically changing. In this paper a hybrid navigation method is proposed, using two techniques that deal with a priori information and sensory data separately, thus blending the intelligence and optimality of global navigation methods with the reactivity and low complexity of local ones. The first, global navigation module, based on a priori information, chooses intermediary goals for the local navigation module, for which the so called A* algorithm is used. The second part, carrying out the (local) navigation relying on sensory data, applies a fuzzy-neural representation of an improved potential field based guiding navigation tool. Vision based obstacle detection is implemented by difference detection based on a combination of RGB and HSV representations of the pixels. Copyright (C) 2003 IFAC.
- Soft computing based car body deformation and EES determination for car crash analysis systemsPublication . Rovisco, Ana; Varkonyi-koczy, A. R.; Ruano, M. Graça; Varlaki, P.; Michelberger, P.Car body deformation modeling plays a very important role in crash accident analyses, as well as in safe car body design. The determination of the energy absorbed by the deformation and the corresponding Energy Equivalent Speed can be of key importance, however their precise determination is a very difficult task. Although, using the results of crash tests, intelligent and soft methods offer a way to model the crash process itself, as well as to determine the absorbed energy, the before-crash speed of the car, etc. In this paper a modeling technique and an intelligent expert system are introduced which together are able to follow the deformation process of car bodies in car crashes and to analyze the strength of the different parts, thus significantly can contribute to the improvement of the safety of car bodies.