How can we optimize ML models to maximize the efficiency during inference in the car?
What are the challenges of deploying active and federated learning systems in the car? What can we learn from similar applications in the development of autonomous vehicles and associated tech?
How can the car accurately detect the occupant’s behavior and intention? How can we leverage this information in autonomous vehicle control/path planning for creating human-like behaviors that intelligently adapt the driving style?
How can we deal better with false positives when working with natural interaction modes such as gestures and voice?
Which interior cabin sensors leverage the most from machine learning for gesture control?