Google's self-driving car project, called Waymo, is an autonomous vehicle that uses a mix of sensors, Lidar (Light detection and ranging), and cameras and combines all of the data those systems generate to identify everything around the vehicle and predict what those objects might do next. This happens in fractions of a second. How Google Waymo vehicles work: The driver sets a destination. The car's software calculates a route. A rotating roof-mounted Lidar sensor monitors a 60 meter range around the car and creates a dynamic 3D map of the car's current environment. A sensor on the left rear wheel monitors sideways movement to detect the car's position relative to the 3D map. Radar systems in the front and rear bumpers calculate distances to obstacles. AI (Artificial Intelligence) software in the car is connected to all the sensors and collects input from Google Street View and video cameras inside the car. The AI simulates human perceptual and decision-making processes and controls actions in driver-control systems such as steering and brakes. The car's software consults Google Maps for advance notice of things like landmarks and traffic signs and lights. An override function is available to allow a human to take control of the vehicle.