Wayve's Fleet Learning Loop is an innovative system designed to enhance autonomous driving capabilities through continuous, real-world data collection and machine learning. By integrating data-collection devices into commercial vehicle fleets, such as delivery vans, Wayve gathers extensive driving data during regular operations. This data is then processed using advanced AI algorithms, enabling the autonomous driving system to learn from human driving behaviors and adapt to diverse driving scenarios. The Fleet Learning Loop emphasizes safety and reliability by incorporating feedback from safety drivers and utilizing computer simulations to handle rare or hazardous situations. This iterative learning process ensures the autonomous system remains robust and responsive to the complexities of real-world driving environments.