From The Duke of Middleville.

Cameras are incredibly powerful — but in autonomous driving, cameras alone can only estimate reality.
This video explains why that isn’t enough.

Using a simple real-world analogy, I break down the idea of ground truth in self-driving systems. It’s the difference between guessing a measurement with your eyes and checking it with a tape measure. One is an estimate. The other is the truth.

In this video, I explain:

What ground truth actually means in autonomous driving

Why camera-based systems rely on inference, not measurement

How LiDAR acts as a “tape measure” during AI training and validation

Why AI has rapidly shortened the gap between automakers

How this applies to the autonomy strategies of Rivian and Tesla

Why LiDAR doesn’t need to drive the car to be critically important

This isn’t a hype video — it’s an explanation of how machines learn, why clean data matters, and why the future of self-driving isn’t just about better cameras, but better truth.

If you’ve ever wondered why there’s so much debate around LiDAR and vision-only systems, this video will finally make it make sense

#AutonomousDriving #LiDAR #ArtificialIntelligence #Rivianr2 #Tesla #fsd