NCCR Automation seminar series - Prof. Ehsan Hashemi
Our NCCR Automation Seminar Series continues with Prof. Ehsan Hashemi from University of Alberta.
Title: State Estimation for Connected and Automated Driving Systems
Abstract: Advances in applications of sensor technologies and distributed estimation in intelligent transportation systems facilitate reliable and robust estimation of vehicle states and road conditions, which are required for motion planning and lateral/longitudinal stabilization of an Automated Driving System (ADS). One of the main challenges of the current state estimators in ADS and connected vehicles is low reliability in high-slip maneuvers due to complex and nonlinear behavior of tire forces. An opinion dynamics approach in intra-vehicular networks will be presented in the first part of presentation to address this issue. The main objective is to enhance safety by developing a tire-level estimation method for estimating individual forces and autonomous vehicles’ longitudinal/lateral slips. An integrated stabilization and traction (while tracking) ADS control framework, which considers the combined-slip friction effect and uses the estimated states at each vehicle corner, will also be discussed in the second part of the presentation.
Biography: Ehsan Hashemi received his PhD in Mechanical and Mechatronics Engineering in 2017 from University of Waterloo, ON, Canada, and is currently an Assistant Professor at the University of Alberta and director of the Networked Optimization, Diagnosis, and Estimation (NODE) lab. Previously, he was a visiting professor at the School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology in 2019, research fellow at Karlsruhe Institute of Technology, and a postdoctoral fellow at the University of Waterloo (2017-2018).
Research interests: His research is focused on distributed and fault-tolerant control, automated driving systems, and cooperative intelligent transport systems.
You can find Prof. Hashemi's talk on our YouTube channel.
