Keynotes
Ms. Yue Li
CTO and co-founder, IAE Group, China
“Practice for scenario based simulation accelerating the safe application of autonomous driving”
Car manufactures are exploring commercial implementation scenarios for autonomous driving, hoping to enhance product strength through this technology; Practical and feasible solutions are needed in regulation to form positive guidance and access. In the process of landing for autonomous driving, simulation testing based on a large-scale and systematic scenario library will play a key role in productization and market access. This keynote will focus on sharing the practical experience in China of scenario based L4 autonomous driving simulation testing.
Dr. Behrang Keshavarz
Senior Scientist, KITE Research Institute, UHN, Canada
Adjunct Professor, Toronto Metropolitan University, Canada
“Motion sickness: A challenge in real and simulated driving situations”
Motion sickness affects one in three people, with vomiting, nausea, dizziness, or headache being just few of the many symptoms. Two global mega-trends make motion sickness a major challenge to healthcare and industry in the upcoming decades: fully automated vehicles and Virtual Reality (VR) applications. Motion sickness is a serious concern for both technologies, jeopardizing their success and overall acceptance. In this presentation, Dr. Keshavarz will provide an overview of the phenomenon of motion sickness, with a specific focus on theoretical considerations, factors influencing individual susceptibility, measurement techniques, and potential solutions.
Pr. George Drettakis
Research Director, Inria, France
“The 3D Gaussian Splatting Adventure: Past, Present and Future”
Industrial Keynotes
Dr. Richard Romano
Staff Researcher, General Motors, United States
Visiting Professor, University of Leeds, United Kingdom
“Human Centered Vehicle Design in the Age of Agile Software Development: The role of driving simulators”
Dr. Craig Brown
“ProCue: Outcue the Competition”
Ms. Tille Karoline Rupp
“Driving Innovation: The Power of Simulation, AI, and Big Data in Accelerating Development & Validation”
As automated driving systems become more complex, efficient and robust validation methods are essential. By leveraging simulation, AI, and Big Data, we aim to shorten development and validation cycles, following the left shift principle to detect and resolve issues early.
This keynote highlights the role of automation throughout the entire V-model, ensuring seamless toolchains from development to validation. Standardized, reusable, and consistent data enable Software-in-the-Loop (SiL) and Hardware-in-the-Loop (HiL) testing, as well as driving simulators (Driver-in-the-Loop – DiL), on a shared foundation. In combination with an intelligent test concept, they form the key to efficient validation.