3. Data Processing and Decision-Making Algorithms

Data collected by sensors undergoes extensive processing:

• Object Detection: Machine learning models identify and classify objects such as vehicles, pedestrians, and obstacles.
• Trajectory Prediction: Predicts the future movement of dynamic objects to avoid collisions.
• Decision-Making Algorithms: Use real-time data to make driving decisions, such as when to change lanes, stop, or accelerate.

Real-time processing is achieved through powerful onboard computers that run complex algorithms efficiently.