Machine Learning Algorithms:

Waymo's autonomous driving system uses a combination of machine learning algorithms to interpret the sensor data and make decisions about vehicle control. These algorithms include:

1. Object detection: Waymo's algorithms use the sensor data to detect objects on the road, such as cars, pedestrians, and bicycles.
2. Track estimation: The algorithms use the sensor data to estimate the vehicle's position and trajectory on the road.
3. Motion forecasting: The algorithms use the sensor data to predict the motion of other vehicles and pedestrians on the road.
4. Decision-making: The algorithms use the sensor data and motion forecasting to make decisions about vehicle control, such as acceleration, braking, and steering.