AI in Autonomous Vehicles Quiz

Answers and explanations appear as you take the quiz.

1. What are the four main stages in a self-driving car's processing loop?
   • Perception, prediction, planning, and control
   • Fueling, washing, parking, and selling
   • Mapping, mining, mailing, and merging
   • Booting, browsing, buffering, and billing
2. Why do autonomous vehicles often fuse camera, radar, and lidar data?
   • To make the car heavier
   • Because each sensor covers the others' weaknesses
   • To play music more clearly
   • Because the law requires exactly three sensors
3. What does SAE Level 5 driving automation mean?
   • The vehicle controls steering only on a divided highway
   • The vehicle can assist but requires a driver to supervise continuously
   • The ADS performs the full driving task under all conditions a human driver can manage, without a fallback-ready user
   • The vehicle can drive only within a mapped, limited operational domain
4. What automation level does Waymo identify for the Waymo Driver in its published safety methodology?
   • SAE Level 5 in all road and environmental conditions
   • SAE Level 2 driver assistance only
   • SAE Level 1 steering or braking assistance
   • SAE Level 4, within a defined operational design domain
5. What does the prediction stage of the driving stack do?
   • Forecasts how nearby agents will move in the next few seconds
   • Predicts the car's resale value
   • Chooses the radio station
   • Estimates fuel prices
6. What simulation mileage did Waymo report in its 2017 safety report as part of its testing program?
   • Exactly 100 simulated miles
   • Billions of simulated miles
   • No virtual testing at all
   • Only one million simulated feet
7. What is an operational design domain (ODD) for an automated driving system?
   • The number of cameras installed on a vehicle
   • A list of all possible road events worldwide
   • The specific conditions under which the system is designed to operate
   • The vehicle’s maximum passenger capacity
8. What role can scenario-based simulation play in AV safety evaluation?
   • It proves that every possible real-world crash has been tested
   • It replaces all on-road validation
   • It certifies an AV as safe without evidence
   • It can test system responses to defined conflict scenarios at scale before or alongside road testing