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Watch Tesla’s Self-Driving Car Learn in a Simulation

Two Minute Papers via YouTube

Overview

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Explore the cutting-edge advancements in Tesla's self-driving technology through this informative video. Delve into the intricacies of neural network backbones, single-camera and multi-camera detection systems, and improved robustness to temporary occlusions. Learn about the enhanced depth and velocity estimation from video architecture, and how roads are reconstructed for labeling. Discover how Tesla persists vehicles and pedestrians through occlusions and leverages fleet data to find similar driving scenarios. Gain insights into the Autopilot simulation, including diverse actors and locations, scalable scenario generation, and scenario reconstruction. Understand the full integration process and technical details behind Tesla's autonomous driving capabilities.

Syllabus

Intro
Full Self-Driving
Neural Network Backbone
Problem: Per-Camera Detect-Then-Fuse
Detections: SingleCam - Multicam
Improved Robustness to Temporary Occlusion
Improved Depth & Velocity From Video Architecture
Align to Reconstruct Roads For Labeling
Persisting Vehicles & Pedestrians Through Occlusions
Ask the Fleet for Similar Clips
Autopilot Simulation
Reality
Diverse Actors & Locations
Scalable Scenario Generation
Scenario Reconstruction
Technical Details
Full Integration

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Two Minute Papers

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