A methodology for photometric validation in vehicles visual interactive systems
Neuro-fuzzy control of antilock braking system using sliding mode incremental learning algorithm
Case-based adaptation for automotive engine electronic control unit calibration
Reinforcement learning-based multi-agent system for network traffic signal control
Predicting Vertical Acceleration of Railway Wagons Using Regression Algorithms
Traffic sign recognition using evolutionary Adaboost detection and forest-ECOC classification
Critical motion detection of nearby moving vehicles in a vision-based driver-assistance system
Clustering sensor data for autonomous terrain identification using time-dependency
Prediction of vehicle reliability performance using artificial neural networks
A low-cost pedestrian-detection system with a single optical camera
Lane change intent analysis using robust operators and sparse Bayesian learning
Driver behavior and situation aware brake assistance for intelligent vehicles
Neural networks for continuous online learning and control
A purely reactive navigation scheme for dynamic environments using Case-Based Reasoning
Dynamic construction of routine patterns for transport vehicles based on ant colony system
Automatic design of fuzzy controllers for car-like autonomous robots
Automotive fault diagnosis - part II: a distributed agent diagnostic system
A low-cost altitude control system for the Kadet Senior radio-controlled airplane
Exploring self-organized emergence in an agent-based synthetic warfare lab
A fuzzy system for automotive fault diagnosis: fast rule generation and self-tuning
Learning fuzzy rules with tabu search-an application to control
Adaptive fuzzy control of satellite attitude by reinforcement learning
Intelligent ship control with online learning ability
Learning and adaptation in an airborne laser fire controller
The past, present, and future of neural networks for signal processing
Moderated reinforcement learning of active and semi-active vehicle suspension control laws
Intelligenz auf vier Rädern: Autos lernen, Verkehrszeichen zu erkennen
The use of artificial neural networks for the intelligent optimal control of surface ships
Multiresolutional schemata for unsupervised learning of autonomous robots for 3-D space operation
Hidden Markov model approach to skill learning and its application to telerobotics