Self-driving cars navigate traffic using a combination of advanced sensors and algorithms. They rely on technologies such as LiDAR, which generates three-dimensional maps by emitting laser pulses to measure distances, radar for detecting the speed and position of objects, and cameras to recognize lane lines and traffic signs[4][5]. This variety of sensors allows the vehicle to construct a detailed image of its surroundings.
The data from these sensors is processed by powerful onboard computers that interpret the information and make driving decisions. Machine learning algorithms help the car to understand and react to dynamic environments, improving its ability to handle various traffic scenarios as it learns from real-world experiences[2][4].
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