Sensors, actuators, complicated algorithms, machine learning systems, and powerful processors are used to run software in autonomous vehicles.
Based on a number of sensors located throughout the vehicle, autonomous automobiles develop and maintain a map of their surroundings. Radar sensors keep an eye on the movement of adjacent cars. Traffic signals are detected by video cameras, which also read road signs, monitor other vehicles, and monitor for pedestrians. Lidar (light detection and ranging) sensors estimate distances, detect road boundaries, and recognise lane markers by bouncing light pulses off the car’s surroundings. When parking, ultrasonic sensors in the wheels detect curbs and other vehicles.