Autonomous vehicles, from tiny drones to large freight trucks, all require advanced sensor inputs to localize, perceive, and navigate the environment. At the same time the combination of AI and Sensing must provide safe, hazard-free operations in challenging environments. This session describes how IMUs can be a key sensor to enable safe and reliable AI-based autonomous vehicles and presents a unique MEMS-based component architecture for an open, high-integrity, ISO26262 ASIL compliant IMU platform that is both compact and high-performance. In addition, this session presents how this component architecture can support the safety-compliant integration of additional advanced algorithms such as a Kalman Filter based GPS/INS sensor fusion algorithm directly on top of the IMU hardware processor minimizing overall system cost and size.