Guide-linked quiz · Medium Level

Comma.ai and Openpilot Quiz

Learn how openpilot provides supervised driver assistance, how comma devices connect, and how current models use fleet data.

Related guide pathsComma AI And Openpilot
Question 1 of 8

Who founded Comma.ai and is known for earlier hacking the iPhone and PlayStation 3?

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  1. Who founded Comma.ai and is known for earlier hacking the iPhone and PlayStation 3?
    • George Hotz
    • Elon Musk
    • Andrej Karpathy
    • Chris Urmson
  2. What is the name of Comma.ai's open-source driving software?
    • Autopilot
    • Openpilot
    • DriveStack
    • CommaOS
  3. What SAE autonomy level is Openpilot rated at, requiring an attentive human driver?
    • Level 4
    • Level 5
    • Level 2
    • Level 0
  4. Which sensing modality is central to openpilot’s driving models?
    • A lidar-only point cloud
    • GPS alone
    • A detailed HD map as the sole input
    • Camera imagery
  5. How does a compatible comma device connect with a supported vehicle?
    • Through a vehicle-specific harness and interface to the car’s wiring/network
    • Through Bluetooth to the infotainment system only
    • Through a cloud connection with no in-car interface
    • By replacing the vehicle’s steering hardware
  6. What does openpilot’s current World Model training pipeline use as its starting data source?
    • Only lidar scans from public maps
    • Unlabeled driving data collected from the fleet
    • A corpus of written driving rules only
    • Synthetic audio recordings
  7. What does openpilot’s driver-monitoring feature do?
    • It takes over steering whenever the driver looks away
    • It guarantees the driver is attentive
    • It alerts when it detects driver distraction
    • It replaces the vehicle’s airbags
  8. How does the openpilot 0.11 training description use a learned World Model?
    • It replaces the car’s physical sensors with a language model
    • It trains only on handwritten traffic laws
    • It sends each steering action to a human for manual labeling
    • It trains a driving policy on data from simulated interactions with the World Model

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