• How will regulatory requirements shape the adoption of LiDAR alongside camera-based vision systems in autonomous vehicles?
• How could breakthroughs in neural networks and camera processing make vision-only systems not just viable, but superior, and what hurdles remain?
• Would real-world or simulated data diversity in training AV perception systems improve them enough to fully overcome environmental limitations like poor lighting or weather?
• How could improvements in LiDAR’s form factor and cost-effectiveness influence the choice between a hybrid sensor suite and a camera-only system?
• How can LiDAR play a critical “training wheels” role, adequately training perception through camera only systems, to enable removal of LiDAR in production vehicles?

Presenting the results of our World Cafés: The moderators summarize the key takeaways of their World Café Round Tables on the main stage and share the main findings with all attendees.