Science Talk mit wissenschaftlichen Vorträgen, bei denen die neuesten Methoden und Technologien vorgestellt und diskutiert werden, zu den Bereichen:

Machine Learning for Automated Vehicles

• “Classifying tractor operational modes using a supervised machine learning model” - Rosina Grimm, AGCO
• “Situation Awareness for Driver-Centric Driving Style Adaptation” - Johann Haselberger, Porsche
• “EDLight: Enhanced Car Light Mode Detection Using CNN-Based Image Classification” - Vijesh Vidhani, EDAG
• “Architecture of an AI-supported multimodal road condition measurement system” - Patrick Huber, TUM

Human-Centric Research & Development

• “Navigating Emerging Technologies: The Crucial Role of Adaptation” - Magnus Liebherr, Uni DUE
• “Simulation of the Human Body Dynamics in the Loop” - Tobias Treichl, DLR
• “Project HERMES: A human-centered approach for evaluating scenarios” - Jonas Nesensohn, HSK
• “Eyes on the Road: Eye-Tracking Reveals the Mysteries of Driving Stress” - William Engel, MdynamiX

Automated Systems

• “CityBot: Mapping the road to smart urban mobility” - Jochen Nüßle, EDAG
• “fROS: A Generic Fieldbus Framework for ROS” - Daniel Schneider, University of Graz
• “Analyzing Time Efficiency Shifts Through Considering Landing Sites:Passenger Drones vs. Ground-Based Emergency Medical Services“ - Felix Wachter, HSK
• “The AVL prototype vehicle "AutBus": Autonomous public transport in adverse weather conditions” - Armin Engstle, AVL

Functional Safety and Cyber Security

• “Determination of critical vehicle variants for functional safety assurance” - Pavel Sarkisov, TRE GmbH
• “Simulation-based Performance Evaluation of 3D Object Detection Methods with Deep Learning for a LiDAR Point Cloud Dataset in a SOTIF-related Use Case” - Milin Patel, HSK
• “Automated validation of safety-critical systems using virtual fault injection” - Levent Ergün, University of Wuppertal
• “Safety and Cybersecurity Management Factor Interactions for Automated Driving Systems” - Florence Wagner, HSK
• “Agile Development approach for product safety related systems” - Matthias Grössler, FSQ Experts

Virtualization and Testing

• “What Comes Next? Augmenting Real Test Procedures with the Virtual World by the Vehicle-in-the-Loop Method” - Pascal Piecha, IPG
• “Enabling Lean, Evolutionary Vehicle System Development through MBSE Driven X in the Loop Testing” - Lukas Macha, University of Bath
• “Time- and cost-optimized test bench measurement of particulate matter emitted by vehicle brakes during normal operation” - Felix Wachter, HSK
• “Transforming the realism and usability of driving simulation” - Lisa Porter, rFpro

METAVI

• Vorträge zum Projektabschluss von METAVI - Hochschule Kempten, Schäffler, MdynamiX, Audi, AB Dynamics, Continental

METAVI erforscht, wie Menschen mit ihren Nutzererlebnissen in die virtuelle Entwicklung integriert werden können, um Technologien des automatisierten Fahrens frühzeitig zu qualifizieren. Damit soll ermöglicht werden, Technologien und Fahreigenschaften mittels Fahrsimulatoren subjektiv erlebbar zu machen, um ein frühes Feedback für Entwicklungsentscheidungen zu bekommen – und damit auf Anhieb eine fehlerfreie Entwicklung zu ermöglichen, ein „First Time Right“.

Live-Demos und Ausstellung auf dem Testgelände an beiden Tagen!