On the Development of an Acoustic-Driven Method to Improve Driver's Comfort Based on Deep Reinforcement Learning

The safety and comfort of drivers have been improved over the decades as a result of our broadened understanding of driver modeling and behavior prediction. Despite these remarkable advances in autonomous and interactive systems, there is a significant lack of approaches that consider the passengers and the vehicle as components of a dynamical vibro-acoustical system. Sound in vehicles is not only...