Acoustic-driven Vehicle Adaptation to Improve Driver’s Comfort


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.

Dec 13, 2018 12:00 AM
Invited Talk at the Toyota Research Institute
Toyota Research Institute, Cambridge, MA
Michal Gregor
Michal Gregor
Researcher – Expert

My research interests include distributed robotics, mobile computing and programmable matter.