Automated Driving and Vehicle Dynamics

Research Description

We are developing model-predictive controller (MPC) algorithms to integrate planning and motion control of autonomous vehicles. These algorithms are deployed using robot operating system (ROS) on the University of Waterloo “Autonomoose”. Vehicle and tire models are developed from track testing using our intelligent vehicle measurement systems, and the controllers are evaluated in virtual simulations and hardware-in-loop experiments prior to vehicle testing.

Student Researchers

Anson Maitland
Yuan Lin
Chi Jin
Mohammad Hassanpour

Keywords and Themes

• Model-Predictive Controllers
• Autonomous and Connected Vehicles
• Intelligent Vehicle Systems
• Automated Planning and Control