Autonomous vehicles have been gaining traction over the past decade, with significant advancements in sensor technology, machine learning, and computing power. These vehicles rely on a complex array of sensors, including cameras, radar, and lidar, to perceive their surroundings. However, it is the integration of AI that enables AVs to interpret sensor data, make decisions, and navigate through complex environments.