Tesla AI ati Autopilot Quiz

Awọn idahun ati awọn alaye han bi o ṣe n mu ibeere naa.

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. Pelu orukọ rẹ, kini Tesla's 'Iwakọ-ara-ẹni ni kikun (Abojuto)' nilo lọwọlọwọ?
   • Ko si awakọ rara
   • Ohun fetísílẹ eda eniyan awakọ setan lati ya lori
   • Ọkọ ayọkẹlẹ keji ti o tẹle lẹhin
   • Oṣiṣẹ latọna jijin ni ile-iṣẹ iṣakoso kan
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. Awọn anfani wo ni Tesla gba lati inu ọkọ ayọkẹlẹ nla ti awọn ọkọ ayọkẹlẹ lori ọna?
   • Ina ọfẹ fun ikẹkọ
   • Ifọwọsi ijọba aifọwọyi
   • Din owo taya
   • Ṣiṣan nla ti fidio awakọ gidi-aye fun data ikẹkọ
5. Which humanoid robot project appears on Tesla’s AI and Robotics page?
   • Ti o dara julọ
   • Atlas
   • Digit
   • Aami
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