Kalman filter technology in self-driving cars

The Kalman filter is an algorithm widely used in self-driving cars, especially for locating vehicles and tracking other vehicles. By using data from sensors such as lidar, the Kalman filter can accurately estimate and predict the vehicle's position, speed, acceleration, etc., and maintain high accuracy even in the presence of measurement noise and interference. The advantage of this algorithm is its high efficiency and real-time performance, making it very suitable for handling the perception and prediction tasks of self-driving cars in complex traffic environments.