AI, Machine Learning, Neural Networks, Deep Driving & Cognitive Vehicles

• What are state of the most state of the art algorithms for computer vision and machine learning?
• What role will Deep Neural Networks (DNN) have in future self-driving cars and what will the associated challenges of this be?
• What are the implications of machine learning for functional safety?
• What level of traceability is possible with neural networks?
• How much real-time data and decision logs can we access?
• Can we really implement end-to-end learning or is it better use hybrid approaches?
• What are the key challenges in AI and perception technologies for autonomous vehicles?

Sensor Fusion, Sensor & Perception Technologies, Imaging Systems, Radars & Computer Vision

• Which kind of sensors provide the most value?
• How to push hard for cost optimization without comprising safety?
• Do we need deep learning for sensor fusion?
• Can radar sensors replace ultra-sonic sensors completely?
• Which sensors are most suitable for data fusion in close range?
• Which combinations of sensors will be required for robust machine perception in HAD?
• To what extent are high resolution maps required for offering context information for scene understanding?

Autonomous Vehicle Software Architectures, Deep Learning Architectures, Highly Scalable Architectures & AV Platforms

• How far can vehicle architectures solve the functional safety need for autonomous vehicles?
• What are the challenges to step from fail-safe to fail-operational architectures as a foundation of machine learning systems in autonomous vehicles?
• What is the case for a flexible fusion architecture?
• How to understand the system architecture for automated driving and scale up system architectures?
• What are the challenges in development and testing of fail-operational automated driving architectures?
• What are the newest concepts, challenges, use cases & game changers to the new AUTOSAR Adaptive Platform for Connected and Autonomous Vehicles?

Virtual & Real Life Testing, Validation & Simulation

• To what extent do edge cases define the development of autonomous vehicles?
• Which test cases can we cover with simulation and which not?
• Will virtual kilometers (simulations, HIL/SIL) be accepted as an industry validation method?
• What can we learn from the latest research in advanced, large-scale testing of autonomous vehicles and validation methods?
• What are the challenges behind using synthetic data for validation?

Autonomous Shuttles, Commercial Vehicles, Trucking Automation, Platooning & Deployment

• What are the key challenges in Cybersecurity of Autonomous Vehicle Platooning?
• What are the different control algorithms?
• How do different wireless technologies perform in high-density truck platooning achieved with vehicle-to-vehicle (V2V) communications?
• What results and challenges do we see from the early deployment of autonomous shuttles and autonomous platoons?
• What data is already being collected, what data is missing and what are future research requirements?

Safety & Security: Active Safety, Functional Safety, Operational Safety & Safety-Critical Systems, Embedded Systems & Cybersecurity

• In what areas are ISO 26262 insufficient for autonomous driving?
• Does SOTIF fully close the gap where ISO 26262 is insufficient?
• How to achieve functional safety for autonomous vehicles?
• How can we ensure functional safety with AI and machine learning?
• What do we still need to do to achieve functional safety for deep learning algorithms?

V2X, V2V & Connected Vehicle Technologies

• How can we leverage V2V and V2Cloud communications to automate trucks?
• What can we learn from this for autonomous passenger vehicles?
• How will 5G drive and accelerate the development of autonomous vehicles?
• What new opportunities will 5G create for autonomous driving?
• What current challenges on the road to level 5 could 5G resolve?
• What information could now be transferred through V2V with the support of 5G and how can it be used in the processing of data collection from machine learning, sensors etc?