Self-Driving Cars Are Agents

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-builders-agentic-agent-self-driving

1. What are the three main functions that make a self-driving car an agent?

   1. Perceive, predict, and act
   2. Input, process, and output
   3. Drive, park, and signal
   4. See, think, and move

2. Which of these is NOT typically used by self-driving cars to perceive the world?

   1. Cameras
   2. LIDAR
   3. Radar
   4. Microphones

3. Why do self-driving cars use multiple types of sensors instead of just one?

   1. To look more advanced and expensive
   2. Because manufacturers want to waste money
   3. To confuse other drivers on the road
   4. Because different sensors have different strengths and weaknesses

4. How many times per second does the action loop typically run in a self-driving car?

   1. Once per hour
   2. Once per minute
   3. 10 times per second
   4. 30 times per second

5. What does the 'predict' function of a self-driving car agent do?

   1. Predicts the weather forecast
   2. Predicts traffic light timing
   3. Predicts what other drivers and pedestrians will do
   4. Predicts the car's battery life

6. Which term describes combining data from multiple different sensors to get a better understanding of the environment?

   1. Sensor mixing
   2. Sensor combining
   3. Sensor fusion
   4. Sensor merging

7. In the agent loop, what happens during the 'act' phase?

   1. The car remembers previous drives
   2. The car watches the road with cameras
   3. The car analyzes data from sensors
   4. The car takes an action like steering, braking, or accelerating

8. Why is it important that the action loop runs 30 times per second rather than once per second?

   1. Because sensors are too slow to update faster
   2. To use less battery power
   3. Because the driving environment changes very quickly
   4. To make the ride smoother for passengers

9. What does 'perception' mean in the context of self-driving cars?

   1. The car's ability to make decisions
   2. The car's ability to feel road texture through tires
   3. The car's ability to store navigation data
   4. The car's ability to sense the environment using cameras and sensors

10. Which of these is an example of an 'action' that a self-driving car might take?

    1. Accelerating to maintain speed
    2. Predicting where a cyclist will move next
    3. Fusing data from multiple sensors
    4. Processing camera images

11. Why are self-driving cars considered to be agents?

    1. Because they perceive the world, make predictions, and take actions
    2. Because they are expensive and use advanced technology
    3. Because they have a human driver inside
    4. Because they are vehicles with four wheels

12. LIDAR is best described as what type of technology?

    1. A laser-based sensor that measures distances to objects
    2. A type of camera that sees in the dark
    3. A radar system that detects speed
    4. A GPS navigation system

13. What would be the most likely result if a self-driving car's perception system failed while driving?

    1. The car would switch to manual driving mode automatically
    2. The car would continue driving normally
    3. The car would lose awareness of its surroundings and could be dangerous
    4. The car would drive more carefully

14. Why is the prediction step important in the self-driving car agent loop?

    1. Predictions are not actually important
    2. Because it replaces the need for sensors
    3. Because predictions are always 100% accurate
    4. Because other road users behave unpredictably and the car needs to anticipate their actions

15. Why is sensor fusion considered valuable for self-driving cars?

    1. It reduces the need for human oversight
    2. Each sensor has limitations, so combining them provides more reliable perception
    3. It makes the car more expensive
    4. It is required by traffic laws