Zobrazeno 1 - 10
of 28
pro vyhledávání: '"F. Heimes"'
Autor:
F. Heimes, Hans-Hellmut Nagel
Publikováno v:
International Journal of Computer Vision. 50:5-34
Currently available driver assistance systems (i) warn the driver based on vehicle state sensors (e.g., door open, outside temperature near or below the freezing point), (ii) offer route guidance information (navigation systems based on GPS and digit
Publikováno v:
Mathematical and Computer Modelling. 27:189-203
Vision-based automatic driving along innercity roads and across complex innercity intersections requires to detect and track road markings and lane boundaries in order to determine the position and orientation of the vehicle relative to the ground. T
Autor:
F. Heimes, H.-H. Nagel
Publikováno v:
Engineering Applications of Artificial Intelligence. 11:215-227
The tracking of inner-city intersections under realistic conditions, i.e. dense traffic, increases the number of artefacts, like occluded or distorted objects, compared to the tracking of free country roads or highways. This requires the best possibl
Publikováno v:
SPIE Proceedings.
The advanced progress in miniaturization technologies of mechanical systems and structures has led to a growing demand of measurement tools for three-dimensional vibrations at ultra-high frequencies. Particularly radio-frequency, micro-electro-mechan
Publikováno v:
Digest of Technical Papers. PPC-2003. 14th IEEE International Pulsed Power Conference (IEEE Cat. No.03CH37472).
Solid-state switches for pulsed power applications require high current and voltage ratings. Advanced thyristors capable of withstanding 5 kV, 15 MA/sup 2/, and di/dt=20 kA//spl mu/s represent the state-of-the-art for the most demanding of these appl
Autor:
F. Heimes, B. van Heuveln
Publikováno v:
SMC
Presents a neural network called the normalized radial basis function (NRBF) neural network. The NRBF integrates techniques from two similar neural networks: the general regression neural network (GRNN) and the radial basis function (RBF) neural netw
Publikováno v:
1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.
This paper presents results in applying gradient and evolutionary programming (EP) techniques to training dynamic neural network models of aircraft response. The gradient methods modify the weights of predefined neural network structures to learn the
Publikováno v:
Proceedings of the Intelligent Vehicles '95. Symposium.
In the course of tracking moving vehicles in image sequences recorded by a stationary camera at complex inner-city road intersections, it has turned out to be advantageous to automatically recognize the lane structure of the recorded intersection. Si