Generative World Models
Beyond End-to-End: True reasoning for autonomous systems
Imagination & Reasoning
We go beyond the "End-to-End" reflex models used by Tesla and others. Our vehicles don't just predict the next second – they imagine "What if I make this maneuver?" in a virtual world within milliseconds.
"Latent Space Simulation & Reasoning"
World Models vs End-to-End
Traditional Approach
End-to-End Models
Maps sensor input directly to control outputs. Learns to mimic human driving patterns without understanding why those decisions were made.
Our Approach
World Models
Builds an internal model of the world. Can simulate future scenarios, understand cause and effect, and reason about novel situations.
How It Works
Explore Our Perception System
See how we fuse multiple sensor types for super-human perception.
Sensor Fusion