The road to 'root cause': Shop-floor problem-solving at three auto assembly plants
Data mining for quality control: Burr detection in the drilling process
Validity index in dynamic cell structures
Urban traffic control based on learning agents
Advanced driver assistance system supporting routing and navigation for fully electric vehicles
A methodology for photometric validation in vehicles visual interactive systems
A Method of Reinforcement Learning Based Automatic Traffic Signal Control
A Software Scheme for UAV's Safe Landing Area Discovery
Double-deck elevator systems using genetic network programming with reinforcement learning
Unconstrained licence plate and text localization and recognition
Automotive fault diagnosis - part II: a distributed agent diagnostic system
Autonomous situation awareness through threat data integration
Adaptive fuzzy control of satellite attitude by reinforcement learning
Hierarchical fault diagnosis and health monitoring in multi-platform space systems
Kernel regression for travel time estimation via convex optimization
An artificial neural networks approach on automobile pricing
Reinforcement learning-based multi-agent system for network traffic signal control
Case-based adaptation for automotive engine electronic control unit calibration
Intelligent landing control system for civil aviation aircraft with dual fuzzy neural network
Gaussian processes and reinforcement learning for identification and control of an autonomous blimp
Learning user preferences of route choice behaviour for adaptive route guidance
UUV teams, control from a biological perspective
Steering in a Random Forest. Ensemble Learning for Detecting Drowsiness-Related Lane Departures
Pattern matching as the nucleus for either autonomous driving or driver assistance systems
Evolutionary Computation Methods for Helicopter Loads Estimation
Research on availability of satellite images based on immune feedback learning fuzzy neural network
Verbesserte Kursprädiktion durch maschinelles Lernen am Beispiel eines Kollisionswarnsystems
Neural networks for continuous online learning and control
Ein neuer Ansatz zur Situationsprädiktion für weite Anwendungsfelder in Fahrerassistenzsystemen
Traffic accident analysis using machine learning paradigms
Autonomous helicopter control using reinforcement learning policy search methods
Stellenwert von Fahrerassistenzsystemen bei Fahrlehrern und Fahrschülern
An approach to vehicle recognition using supervised learning