Science Talk with scientific lectures presenting and discussing the latest methods and technologies in the areas of:

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

• Presentations at the end of the METAVI project- Hochschule Kempten, Schäffler, MdynamiX, Audi, AB Dynamics, Continental

METAVI is researching how people and their user experiences can be integrated into virtual development in order to qualify automated driving technologies at an early stage. The aim is to make it possible to subjectively experience technologies and driving characteristics using driving simulators in order to obtain early feedback for development decisions - and thus enable error-free development right from the start, a "first time right".

Live demos and exhibition on the test site on both days!