Acoustic-driven Vehicle Adaptation to Improve Driver’s Comfort

Abstract

The talk presented the work done as part of the VEHICAL project at UC Berkeley concerning driver modeling, decreasing acoustic annoyance, using real data from an instrumented car and using simulation and deep reinforcement learning, etc.; collaborators: Ruzena Bajcsy, Erickson R. Nascimento, Isabella Huang, Ismael Villegas.