Sensor fusion and multi-sensor data integration are crucial for enhancing perception in autonomous vehicles (AVs) by using RADAR, LiDAR, cameras, and ultrasonic sensors. This technology allows AVs to build a detailed model of their surroundings, which is essential for navigation and obstacle detection. Future improvements in sensor fusion are expected to increase safety and efficiency in autonomous driving through advanced algorithms and machine learning.