Towards Edge-assisted Intelligent Driving: Cooperative Learning for Low-Latency V2I Communications & AV Remote Control

Project summary:

With emerging 5G, tele-operated AVs where a human operator remotely drives an "autonomous" vehicle (AV) has gained momentum as an alternative for leveraging AVs to tackle societal challenges. In this project we will develop novel mathematical models, edge-assisted control, and graph learning algorithms to support tele-operations of AVs. The proposed project builds on the combined expertise of the research team and leverages the unique resources at the U. It will lay the foundation for future funding opportunities, and help position UMN as a leader in AV tele-operation research.