Sensor Fusion
Super-human perception through multi-modal sensing
Super-Human Perception
Trusting a single sensor (Camera) is trusting a blind spot. Sidra Autonomy unifies Camera's color perception, LiDAR's centimetric precision, and Radar's fog-penetrating power in a single Transformer model.
"Error margin approaches zero."
Three Pillars of Perception
Camera Vision
High-resolution cameras capture rich visual information including color, texture, and fine details essential for reading signs and understanding scenes.
LiDAR Precision
Light Detection and Ranging provides centimeter-accurate 3D mapping of the environment, working perfectly in any lighting condition.
Radar Penetration
Radar waves penetrate through fog, rain, snow, and dust where optical sensors fail, ensuring all-weather operation.
Unified Transformer
Early Fusion
All sensor modalities are fused at the feature level, allowing the model to learn cross-modal relationships from the ground up.
Redundancy
When one sensor degrades (fog for cameras, rain for LiDAR), others compensate automatically with learned cross-modal inference.
Cross-Validation
Detections are validated across modalities. A camera detection is confirmed by LiDAR depth, reducing false positives to near zero.
Why Not Camera Only?
Some companies bet on camera-only systems for cost savings. We believe this is a false economy when human lives are at stake. Cameras fail in:
See Our Hardware Infrastructure
The NVIDIA B200 cluster that powers our sensor fusion.
Hardware (B200)