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Tesla AI uye Autopilot Quiz

Ongorora Tesla's kamera-yakavakirwa maonero uye mutyairi-yerubatsiro masisitimu, kusanganisira kuenderera mberi kwekuda kweanoteerera munhu mutyairi.

Nzira dzekutungamira dzinoenderanaTesla AI uye Autopilot
Mubvunzo 1 ye 8

In Tesla’s camera-based “Tesla Vision” approach, what sensors provide the visual input?

Tarisa mubvunzo wese8 mibvunzo

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

  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. Zvisinei nezita rayo, chii chaTesla's 'Full Self-Driving (Yakarongedzwa)' parizvino chinodei?
    • Hapana mutyairi zvachose
    • Mutyairi wevanhu akateerera akagadzirira kutora nzvimbo
    • Mota yechipiri ichitevera kumashure
    • Mushandisi ari kure munzvimbo yekudzora
  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. Chii chakanakira Tesla kubva kuboka rayo guru remotokari mumugwagwa?
    • Magetsi emahara ekudzidziswa
    • Otomatiki mvumo yehurumende
    • Matai akachipa
    • Kuyerera kukuru kweiyo chaiyo-yenyika yekutyaira vhidhiyo yekudzidzisa 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