ZfP durch Resonanz-Frequenz-Messung von metallischen Bauteilen
Virtual-Reality-Simulation (VRS) (Teilprojekt 7). BMBF-Verbundprojekt DeepC
Vehicle merging algorithm for automated transportation systems using fuzzy logics
Validity index in dynamic cell structures
UUV teams, control from a biological perspective
Urban traffic control based on learning agents
Unconstrained licence plate and text localization and recognition
Transfer of human control strategy based on similarity measure
Trajectory control of unmanned aerial vehicle using neural nets with a stable learning algorithm
Traffic sign recognition using evolutionary Adaboost detection and forest-ECOC classification
Traffic signal networks simulator with learning emotional algorithm
Traffic accident analysis using machine learning paradigms
Toward autonomous driving: the CMU Navlab. II. Architecture and systems
The use of artificial neural networks for the intelligent optimal control of surface ships
The POP learning algorithms: reducing work in identifying fuzzy rules
The past, present, and future of neural networks for signal processing
The need for verification and validation techniques for adaptive control system
Target recognition using neural networks for model deformation measurements
Stochastic optimal control of active vehicle suspensions using learning automata
SSME parameter model input selection using genetic algorithms
Software V&V support by parametric analysis of large software simulation systems
Self-adaptive recurrent neuro-fuzzy control for an autonomous underwater vehicle
Robust servo-control for underwater robots using banks of visual filters
Robot design for space missions using evolutionary computation
Research on suspension system based on genetic algorithm and neural network control
Research on availability of satellite images based on immune feedback learning fuzzy neural network
Reinforcement learning-based multi-agent system for network traffic signal control
Promoting Environmentally Benign Electric Vehicles
Prediction of vehicle reliability performance using artificial neural networks
Predicting Vertical Acceleration of Railway Wagons Using Regression Algorithms
Pattern matching as the nucleus for either autonomous driving or driver assistance systems
Oppositional particle swarm optimization algorithm and its application to fault monitor
On-road vehicle detection using Gabor filters and support vector machines
Online learning for ship detection in maritime surveillance
Obstacle avoidance learning for a wheeled lunar rover based on its local relative pose