L4 AUTONOMOUS VEHICLES
Is AI a dependable technology for autonomous driving? What are the limits of AI-based components in autonomous vehicles? What about sensors and communication? What about validation of L4 autonomous vehicles?
Autonomous cars are said to be the most complex cognitive systems ever built by humans because they must have a deep understanding of their surroundings and conditions in order to accomplish the complex task of driving.
Dependability is the ability to deliver service that can justifiably be trusted. Safety means the absence of catastrophic consequences on the users and the environment. However, dependability is an integrating concept that comprises not only safety, but also availability, reliability, integrity, security, and more. Trust can be defined as accepted dependability.
AI techniques promise to add more human-like cognitive intelligence needed to automate the driving task and are therefore regarded as the key enabler for L4 autonomous vehicles. However, AI algorithms, whether rule-based or relying on machine learning, depend on real-time data from sensors and communication links to recognize objects to identify ever-changing free spaces, path planning, and selection.
A connected and highly automated vehicle has to be considered as a networked end-to-end mobility system rather than a standalone vehicle. The former integrates functions and properties of various distributed subsystems during operation based on resources controlled by various stakeholders, from OEMs to road and network operators and all kinds of service providers. These dependencies impose even more challenges to dependability engineering and add more complexity to verification and validation.
ABOUT THE WORKSHOP
This workshop brings together leading experts and decision makers from all over the globe, including the United States, Europe, and China, to share state-of-the-art solutions and discuss what is coming next.
There are four sessions that will address some of the key industrial challenges in an effort to help L4 autonomous vehicles become a reality on public roads in the next few years.
- How to establish trust and specify accepted dependability?
- Communication and advanced automotive sensing for AI-based perception and environmental modeling
- AI components and their limitations
- Approaches for verification and validation of L4 autonomous vehicles to get ready for type approval and self-certification
This hybrid workshop is taking place both online and in-person at CAPGEMINI, Olof-Palme Str. 14; 81829 München in Munich, Germany. If you are interested in attending in-person, please reach out to Rosalinda Saravia at [email protected].