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Extraction of Main Urban Roads from High Resolution Satellite Images by Machine Learning
Software Development Cost: How Much? You Sure? Technical Summary
Urban traffic control based on learning agents
Autonomous situation awareness through threat data integration
Lane change intent analysis using robust operators and sparse Bayesian learning
Machine Learning Systems for Detecting Driver Drowsiness
Stochastic Analysis of Controller Area Network Message Latencies with Observable Operator Models
Machine learning for multi-jurisdictional optimal traffic corridor control
A Heuristic Approach for Offboard-Diagnostics in Advanced Automotive Systems
Hierarchical fault diagnosis and health monitoring in multi-platform space systems
Kernel regression for travel time estimation via convex optimization
Traffic sign recognition using evolutionary Adaboost detection and forest-ECOC classification
Obstacle avoidance learning for a wheeled lunar rover based on its local relative pose
A new scheme for vision based flying vehicle detection using motion flow vectors classification
Robust servo-control for underwater robots using banks of visual filters
Critical motion detection of nearby moving vehicles in a vision-based driver-assistance system
Clustering sensor data for autonomous terrain identification using time-dependency
Analyzing angle crashes at unsignalized intersections using machine learning techniques
Incremental learning for motion prediction of pedestrians and vehicles
Ein neuer Ansatz zur Situationsprädiktion für weite Anwendungsfelder in Fahrerassistenzsystemen
Verbesserte Kursprädiktion durch maschinelles Lernen am Beispiel eines Kollisionswarnsystems
Fahrerspezifische Prädiktion von Fahrmanövern mit Fuzzy Logic
Modeling Weather Impact on Ground Delay Programs
A behavioral analysis of freight mode choice decisions
Prediction of Weather Impacted Airport Capacity using Ensemble Learning
Data mining for quality control: Burr detection in the drilling process
Adhering to Terrain Characteristics for Position Estimation of Mobile Robots
TUDOR tip position control with Neural Networks
Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach
Supervised vs. Unsupervised Learning for Operator State Modeling in Unmanned Vehicle Settings
Prediction of Weather Impacted Airport Capacity using Ensemble Learning
Evolutionary Computation Methods for Helicopter Loads Estimation
An architectural framework for self-configuration and self-improvement at runtime
Communication and Distributed Control in Multi-Agent Systems
Factor complexity of crash occurrence: An empirical demonstration using boosted regression trees