Kuis terkait panduan · Sedang Tingkat

Kuis Comma.ai dan Openpilot

Pelajari bagaimana openpilot memberikan bantuan pengemudi yang diawasi, bagaimana perangkat koma terhubung, dan bagaimana model saat ini menggunakan data armada.

Jalur panduan terkaitKoma AI dan Openpilot
Pertanyaan 1 dari 8

Siapa yang mendirikan Comma.ai dan dikenal sebelumnya melakukan peretasan iPhone dan PlayStation 3?

Pratinjau setiap pertanyaan8 pertanyaan

Jawaban dan penjelasan muncul saat Anda mengikuti kuis.

  1. Siapa yang mendirikan Comma.ai dan dikenal sebelumnya melakukan peretasan iPhone dan PlayStation 3?
    • George Hotz
    • Elon Musk
    • Andrej Karpati
    • Chris Urmson
  2. Apa nama perangkat lunak mengemudi sumber terbuka Comma.ai?
    • Pilot otomatis
    • pilot terbuka
    • DriveStack
    • KomaOS
  3. Pada tingkat otonomi SAE manakah Openpilot dinilai, yang memerlukan pengemudi manusia yang penuh perhatian?
    • tingkat 4
    • tingkat 5
    • tingkat 2
    • tingkat 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