Key Notes
- Tesla autopilot for lane management, safety, lane changes, exits, blind spots
- 100k cars have self-driving beta software (parking lots, city streets, highway)
- Algos onboard computer
- 8 Cameras - 36 frames / second
- 360 views around cars
- No other sensors outside this
- Segmentation to classify Drivable / Not
- Depth is also not enough / Difficult for occlusion detection
- (Capture)
- Occupancy Networks
- Consistent output space
- Compute efficiently
- 3D point occupied or not
- Fixed queries attend over image space feature
- Positional embedding in image space
- Moving / Non-Moving obstacle
- Produce both moving/static in same frame
- Occupancy produces both include in occupancy (Static + Dynamic)
- Nerf - Scene creation
- Extract descriptions from scene
- Build perspective outside the world
- Occupancy to Collision Avoidance
- Based on direction and velocity estimate collision avoidance
A Survey of Deep Learning Techniques for Autonomous Driving
Twelve Questions about Tesla Autopilot Technologies Exposed at 2021 AI Day
Keep Exploring!!!
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