Tesla AI and Autopilot Quiz

Answers and explanations appear as you take the quiz.

1. In Tesla’s camera-based “Tesla Vision” approach, what sensors provide the visual input?
   • Cameras around the vehicle
   • A lidar-only scanning unit
   • Radar without cameras
   • A single ultrasonic sensor
2. Despite its name, what does Tesla's 'Full Self-Driving (Supervised)' currently require?
   • No driver at all
   • An attentive human driver ready to take over
   • A second car following behind
   • A remote operator in a control center
3. What do Tesla’s per-camera neural networks analyze in the company’s AI description?
   • Only spoken commands
   • Satellite maps without camera data
   • Raw images for semantic segmentation, object detection and monocular depth estimation
   • Vehicle registration documents
4. What advantage does Tesla gain from its large fleet of cars on the road?
   • Free electricity for training
   • Automatic government approval
   • Cheaper tires
   • A massive stream of real-world driving video for training data
5. Which humanoid robot project appears on Tesla’s AI and Robotics page?
   • Optimus
   • Atlas
   • Digit
   • Spot
6. What do Tesla’s birds-eye-view networks output from video across vehicle cameras?
   • Only the car’s color
   • Road layout, static infrastructure and 3D objects in a top-down view
   • A transcript of nearby speech
   • A single two-dimensional lane label
7. How does Tesla say it creates ground-truth data for training networks to predict world representations?
   • By using only written driver comments
   • By copying another company’s labels
   • By combining sensor information across space and time
   • By asking the model to label itself without sensor data
8. What evaluation methods does Tesla say it uses to track improvements and prevent regressions?
   • Only user ratings in an app store
   • A single annual road test
   • Only language-model benchmarks
   • Open- and closed-loop plus hardware-in-the-loop evaluation infrastructure