How to Architect a Robust ML System for HMI Interaction within Level 4 and 5 of Autonomous Driving
Abstract
- 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?
Date
Sep 30, 2022 11:15 AM — 3:00 PM
Event
Auto.AI Europe 2022, Berlin
Location
World Café session
