High-Precision Vision Occupancy Network
Tesla developed AI-driven high-precision occupancy network, converting multi-camera video into continuous 3D Signed Distance Field (SDF).
- Each 3D grid voxel contains detailed distance information to the nearest object surface
- Resolution up to 10cm
Interactive Smart Parking
System detects and evaluates parking spaces in lots or curbside, calculates “suitability scores” for each space, presenting to driver for confirmation before automated parking.
Efficient Trilinear Interpolation Algorithm
Using “sparse sampling + interpolation” method with trilinear interpolation:
- Only 8 sample points needed to estimate distance value at any internal point
- Achieves “infinite fine” resolution
- Saves up to 90% computation
Multi-layer Visualization
Layered rendering of analysis results:
- Ground surface
- Lane markings
- Dynamic object contours
Synthesizes 3D images at 30+ fps.
General AI Architecture
Same architecture applicable to Tesla’s Optimus humanoid robot, enabling spatial perception and obstacle avoidance capabilities to transfer between cars and robots.
Real-time Constraints
Analysis combined with HW3/HW4 real-time constraints.
Industry Comparison
Positioning compared with FSD V12, Waymo/Cruise, and L2+/L3 solutions.