Evaluating flexible fuzzy controllers via evolution strategies

This paper applies evolutionstrategies to evaluate a class of flexiblefuzzycontrollers. Various components in fuzzycontrollers, including generalized T-norms, soft T-norm, BADD defuzzification and scaling factors are investigated. Simulations are carried out on linear and nonlinear systems and some interesting conclusions are obtained. These conclusions are further explained with an application example of vehicle control. It is hoped that they will be helpful for design of fuzzycontrollers with better control performanc

A Dichoptic Edge Effect Resulting from Binocular Contour Dominance

If one eye sees a bright field on a dark surround while a homogeneous background is presented to the other eye, then a distinct dark zone appears at the outer borders of the field. If the surround is coloured, then the zone is of corresponding hue. The effect disappears if the edge of the field can be fused with a bar of appropriate contrast. The influence of parameters such as pattern contrast and size were studied quantitatively. A model is proposed relating the effect to receptive-field organisation and the fusion process

Strukturoptimierung neuronaler Netze (SONNII). Teilprojekt: Problemangepasste Strukturbewertung und -optimierung neuronaler Netze Abschlussbericht

SIGLEAvailable from TIB Hannover: F00B1357+a / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekBundesministerium fuer Bildung, Wissenschaft, Forschung und Technologie, Bonn (Germany)DEGerman

PROMETHEUS Phase III. Hinderniserkennung mit Computer-Vision (II)

SIGLEAvailable from TIB Hannover: F95B1232+a / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekBundesministerium fuer Forschung und Technologie (BMFT), Bonn (Germany); Commission of the European Communities (CEC), Brussels (Belgium)DEGerman

AENEAS - Anwendung und Entwicklung Neuronaler Verfahren zur Autonomen Prozess-Steuerung Abschlussbericht

Available from TIB Hannover: F00B1356+a / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekSIGLEBundesministerium fuer Bildung, Wissenschaft, Forschung und Technologie, Bonn (Germany)DEGerman

Elektronisches Auge OPEL. Multimodaler Sensor zur Fahrzeugfuehrung. Teilprojekt: Architektur, Rundumsicht und Objekterkennung Abschlussbericht

Available from TIB Hannover: F98B643 / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekSIGLEBundesministerium fuer Bildung, Wissenschaft, Forschung und Technologie, Bonn (Germany)DEGerman

Elektronisches Auge BMW/HEIMANN. Sehsysteme fuer Fahrerassistenz im Automobil und Bewertung komplexer Umgebungen Abschlussbericht

Available from TIB Hannover: F98B644 / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekSIGLEBundesministerium fuer Bildung, Wissenschaft, Forschung und Technologie, Bonn (Germany)DEGerman

Scene analysis and organization of behavior in driver assistance systems

To reduce the number of traffic accidents and to increase the drivers comfort, the thought of designing driver assistance systems arose in the past years. Fully or partly autonomously guided vehicles, particularly for road traffic, pose high demands on the development of reliable algorithms. Principal problems are caused by having a moving observer in predominantly natural environments. At the Institut fur Neuroinformatik methods for analyzing driving relevant scenes by computer vision are developed in cooperation with several partners from the automobile industry. We present a solution for a driver assistance system. We concentrate on the aspects of video-based scene analysis and organization of behavior

Application and optimization of neural field dynamics for driver assistance

Behavior planning of a vehicle in real-world traffic is a difficult problem. Complex systems have to be build to accomplish the projection of tasks, environmental constraints, and purposes of the driver to the dynamics of two controlled variables: steering angle and velocity. This paper comprises two parts. First, the behavior planning for the task of intelligent cruise control is proposed. The controlled variables are determined by evaluating the dynamics of two one-dimensional neural fields. The information concerning the actual situation and driver preferences is coupled additively into the field. Second, the parameters of the dynamics for the steering angle are adjusted by a state-of-the-art evolution strategy in order to achieve a smooth, comfortable trajectory. The behavior of the vehicle is successfully controlled by the neural field dynamics in the testbed of a simulation environment