3D vehicle sensor based on monocular vision
2017 Cognitive Communications for Aerospace Applications Workshop (CCAA) : 27-28 June 2017
2019 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW)
2021 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW) : 21-23 June 2021
Adaptive human-robot policy blending for shared control teleoperation
Advanced driver assistance system supporting routing and navigation for fully electric vehicles
A fuzzy system for automotive fault diagnosis: fast rule generation and self-tuning
A methodology for photometric validation in vehicles visual interactive systems
An architectural framework for self-configuration and self-improvement at runtime
A new scheme for vision based flying vehicle detection using motion flow vectors classification
Anwendungen akustischer Ereigniserkennung im Automobil
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
A Software Scheme for UAV's Safe Landing Area Discovery
ATR applications of minimax entropy models of texture and shape
Automatic Geographic Enrichment by Multi-modal Bike Sensing
Automotive fault diagnosis - part II: a distributed agent diagnostic system
Batteriesimulation mittels dynamischer Datenmodelle für die Entwicklung elektrischer Antriebe
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Clustering sensor data for autonomous terrain identification using time-dependency
Combat vehicle classification using machine learning
Combining learning and structure for robotic manipulation
Computational methods for cognitive and cooperative robotics
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
Critical motion detection of nearby moving vehicles in a vision-based driver-assistance system
Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Ein neuer Ansatz zur Situationsprädiktion für weite Anwendungsfelder in Fahrerassistenzsystemen
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Intelligenz auf vier Rädern: Autos lernen, Verkehrszeichen zu erkennen
Lane change intent analysis using robust operators and sparse Bayesian learning
Latent State-Space Models for Control
Learning continuous human-robot interactions from human-human demonstrations
Learning motion skills for a humanoid robot
Machine learning approaches for detection of robot errors in human brain signals
Neural network full-body human predictive models and their use for coordinated robot motion planning