The AutoDrive Challenge: Autonomous Vehicles Education and Training Issues

Abstract

Jennifer Bastiaan received her Ph.D. in Mechanical and Mechatronics Engineering from the University of Waterloo. She is an Assistant Professor in the Mechanical Engineering department at Kettering University, where she is focused on teaching and research in ground vehicle systems. She is a veteran of the U.S. automotive industry with two decades of experience, including modeling and physical testing programs. Her technical research interests include vehicle dynamics, tire mechanics, and sound and vibration. She is also interested in education research, especially regarding the design of engaging STEM outreach programs for pre-college students, and the incorporation of effective industry partnerships into undergraduate engineering education.

Foundations of Autonomous Vehicles: A Curriculum Model for Developing Competencies in Artificial Intelligence and the Internet of Things for Grades 7–10

“…Autonomous vehicles were used as a vessel through which students engaged in synthesizing the two sets of competencies and engaged in abstract conceptualizations. Autonomous vehicles offer a variety of AI-related challenges and tasks (Tang et al 2018;Peters et al 2019); we followed Tang and colleagues (Tang et al 2018) to create a few foundational and simplified modules that can be accomplished during a one-week program. In the last part of the program, students engaged in active experimentation and showcased a diverse set of approaches to how the two competencies can make a unique type of behavior in autonomous vehicles.…”

Consumer Acceptance in Measuring Greece’s Readiness for Transport Automation

“…Moreover, issues related to the network capabilities and its optimal response to the needs generated by AV operation are another topic of research interest [17], tackling, among others, with the optimization of cloud networks for addressing AV performance and IoT needs in general. Other than that, workforce and training issues are of special focus, in terms of identifying not only the expected impacts on the transportation workforce [18] but also the knowledge and skills required for keeping up with progress in the field (including operating AVs) [19] and relevant tools and methods for professionals' and public training, aiming to help acquire experience, become accustomed and gain competence in using new mobility systems [20][21][22]. Finally, research on modelling-either of AVs in the network [23] and, most notably, including driving behavior [24]-should be mentioned, along with policy considerations on the AV introduction and its implications [25,26].…”