A Multidisciplinary Course and the Corresponding Laboratory Platform Development for Teaching the Fundamentals of Advanced Autonomous Vehicles

Lotfi, Nima; Novosad, Jacob Allen; Phan-Van, Huan

doi:10.18260/1-2--31975

Cited by 4 publications

(3 citation statements)

References 6 publications

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“…Regarding academic results, 13% of the students have satisfactory results [5,7), 40% very good results [7-9) and 40% very good results. Finally, only 7% of students have not satisfactory results [0,5) because they have problems to attend to the experimental sessions.…”

Section: Resultsmentioning

confidence: 99%

Introducing autonomous vehicles into an unergraduate engineering course

Blesa¹,

Ponsa²,

Calomarde³

et al. 2022

Towards a New Future in Engineering Education, New Scenarios That European Alliances of Tech Universities Open Up

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Autonomous vehicles (AVs) are of great interest for the automotive industry and are expected to revolutionize mobility and public transportation. The university can contribute to the design and development of autonomous vehicles both in the field of teaching and in research and technology transfer. In this paper, it is described how this topic is introduced in an undergraduate engineering course, “Implementation of Automatic Control Systems (IACS)”. The IACS course is based on project based learning (PBL) and learning by doing methodologies. Several practical examples that correspond to real automatic systems are discussed throughout the course and one of them, a low-cost AV to which a Raspberry pi has been adapted, forms the basis for a final project of the course. The control algorithms are developed on MATLAB/SIMULINK and are sent to the Raspberry through a wireless communication network. The control objective of the system is the automatic guidance of the vehicle through a single lane indoor closed circuit, the detection and identification of different traffic signals and the automatic response to these signals. Students check the behavior of the vehicle and proceed to make improvements. Based on the assessment of the students and the robustness of the autonomous vehicles, it is time to consolidate this type of project within the course. Students that want to get deeper into the matter have the opportunity to do a final degree project related with the AV.

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Section: Resultsmentioning

confidence: 99%

Introducing autonomous vehicles into an unergraduate engineering course

Blesa¹,

Ponsa²,

Calomarde³

et al. 2022

Towards a New Future in Engineering Education, New Scenarios That European Alliances of Tech Universities Open Up

View full text Add to dashboard Cite

show abstract

“…In the literature, reports on multidisciplinary and interdisciplinary courses are not uncommon [21][22][23][24][25][26][27][28][29][30][31][32][33][34]. However, the literature progressively becomes more and more scant for multidisciplinary and/or interdisciplinary courses that are focused on the graduate level [21,22,32,33], on interdisciplinary knowledge about complex systems and systems thinking [23,32,34], and on specific topics (e.g., renewable energy [29,33]).…”

Section: Multidisciplinary Coursesmentioning

confidence: 99%

Description, Assessment, and Outcomes of Three Initial Interventions Within a National Science Foundation Research Traineeship (NRT): Onboarding Event, Career Exploration Symposium, and Multidisciplinary Introductory Course

Santillan‐Jimenez¹,

Parker²,

Mabisi³

et al.

2021 ASEE Virtual Annual Conference Content Access Proceedings

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“…These features have driven its application in embedded systems and robotics [15][16][17]. When high-level computational power is required for advanced robotics, computer vision and machine learning applications, OSH platforms such as the Nvidia Jetson microcomputers are used [18].…”

Section: Introductionmentioning

confidence: 99%

Promoting Open-source Hardware and Software Platforms in Mechatronics and Robotics Engineering Education

Mbanisi¹,

Auslander²,

Berry³

et al.

2020 ASEE Virtual Annual Conference Content Access Proceedings

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His current research interests include characterization and electrochemical modeling of Li-ion batteries, traditional and electrochemical model-based Li-ion battery management system design, and real-world applications of control and estimation theory especially in alternative and renewable energy systems, mechatronics, robotics, and electrified and autonomous transportation. Dr. Lotfi is a member of the IEEE Control Systems Society and ASME Dynamic Systems and Control Division. Mr. Kenechukwu Churchill Mbanisi, Worcester Polytechnic InstituteKenechukwu C. Mbanisi received the B.Eng. degree in electrical and electronic engineering from Covenant University, Nigeria, in 2013, and the M.S. degree in robotics engineering from Worcester Polytechnic Institute (WPI), MA, USA in 2018. He is currently working towards the Ph.D. degree in robotics engineering from WPI, USA. His research interests include human motion modeling, planning and analysis, human-robot and human-machine interaction.

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A Multidisciplinary Course and the Corresponding Laboratory Platform Development for Teaching the Fundamentals of Advanced Autonomous Vehicles

Cited by 4 publications

References 6 publications

Introducing autonomous vehicles into an unergraduate engineering course

Introducing autonomous vehicles into an unergraduate engineering course

Description, Assessment, and Outcomes of Three Initial Interventions Within a National Science Foundation Research Traineeship (NRT): Onboarding Event, Career Exploration Symposium, and Multidisciplinary Introductory Course

Promoting Open-source Hardware and Software Platforms in Mechatronics and Robotics Engineering Education

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