Quanser’s Self-Driving Car Studio (SDCS) provides a comprehensive platform for teaching autonomous vehicle technology to undergraduate students. In this webinar, we will demonstrate how SDCS can be used to teach core autonomous driving concepts such as control systems, state estimation, computer vision, and environmental interpretation. We will also discuss how SDCS can be integrated into existing curricula, and how it can prepare students for careers in the rapidly growing field of self-driving vehicle research and development.
Dr. Mitchell Rushton is an R&D Engineer with Quanser’s Academic Applications Team, where he is involved in developing research examples, teaching content, and extending Quanser’s application libraries.
Dr. Rushton holds a Ph.D. in Mechatronics Engineering and a Certificate in University Teaching from the University of Waterloo, where he has also taught as a sessional instructor. His research interests include vibration control and cable-driven parallel robots with applications to rehabilitation and automated warehousing.