# 3 – 概率分布入门 1

You’ve seen how autonomous vehicles sense their environments and then use that information to lower their uncertainty and improve their predictions about a car’s movement and surroundings. But how do autonomous vehicles actually represent uncertainty in the real world? They use probability and probability distributions. Probability distributions are a mathematical way to represent uncertainty across all possible outcomes. For example, in the case of locating a vehicle, the possible outcomes are all the places where the vehicle could be. When a vehicle first turns on the car has no idea where it is. How do you think you could represent this initial uncertainty mathematically?