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How do self-driving cars know where to go

Self-driving cars use a combination of sensors, mapping technology, and artificial intelligence (AI) to navigate and make decisions on their own. The process begins with the car's computer system, which is programmed with a specific route or destination. The car then uses a combination of sensors, such as cameras, radar, lidar (light detection and ranging), and ultrasonic sensors to gather data about its surroundings. This data is then processed by the car's AI system, which uses machine learning algorithms to interpret the information and make decisions about how to navigate the road.

The car's sensors provide a 360-degree view of the environment, allowing the AI system to detect obstacles, lanes, and other vehicles. The AI system then uses this information to control the car's acceleration, braking, and steering. The car's computer system also has access to real-time traffic data, which it uses to adjust its route and avoid congestion.

In addition tosensors and AI, self-driving cars also rely on high-precision maps that provide detailed information about the road network, including lane markings, traffic signals, and road signs. These maps are created by a combination of sensor data and human input, and are constantly updated to reflect changes in the road network.

Overall, self-driving cars use a combination of technology and programming to navigate and make decisions on their own, allowing them to safely and efficiently transport passengers without human input.

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