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What Can Robotics Research Learn from Computer Vision Research?
Vehicle and Crew Scheduling: Solving Large Real-World Instances with an Integrated Approach
Using Naturalistic Driving Research to Design, Test and Evaluate Driver Assistance Systems
Using Knowledge Exchange Workshops to analyze the DLR Software Engineering Community
Use of UAVS, Computer Vision, and IOT for Traffic Analysis
Use of Fuzzy Evidential Reasoning for Vessel Selection Under Uncertainty
Urban freight analytics : big data, models, and artificial intelligence
Transonic Wing Buffet Load Prediction at Structural Vibration Conditions
The Software Engineering Community at DLR: How we got where we are
The Port as a Set of Socio-technical Systems: A Multi-organisational View
The Modeling Power of the Periodic Event Scheduling Problem: Railway Timetables — and Beyond
The Holding Problem at Multiple Holding Stations
Technology Development of Military Applications of Unmanned Ground Vehicles
Team-Oriented Airline Crew Rostering for Cockpit Personnel