Marshall University, Huntington, West Virginia
March 28, 2025
March 28, 2025
March 29, 2025
14
10.18260/1-2--54686
https://peer.asee.org/54686
51
Kastriot Palokaj is an electric engineering senior student at Eastern Michigan University. He has experience with computer vision as well as computerized devices used to improve daily life of people with disabilities.
Qin Hu received her B.S. and M.S. degrees in Electrical Engineering from the University of Electronic Science and Technology of China, Chengdu, China, and the Ph.D. degree in Electrical Engineering from Old Dominion University, Norfolk, VA. She is currently an associate professor in the School of Engi
neering at Eastern Michigan University. Her main research interests have been in the area of numerical biophysics, therapeutic applications of electromagnetic fields, software engineering & development, and
artificial intelligence. She has published numerous journal articles, conference papers and book chapters
on her research.
Autonomous vehicles will revolutionize the future of transportation. Automating slow moving vehicles, such as shuttles for schools, airports and tourist attractions, can provide better accessibility, improve traffic management in crowded areas and provide a safer mode of transportation.
The purpose of this project is to create a package consisting of sensors and open-source software which can be integrated with a slow-moving vehicle. The autonomous slow-moving vehicle will leverage advanced navigation algorithms, sensor integration, and machine learning to provide a safe and reliable transportation solution. Equipped with GPS and camera systems, the slow-moving vehicle will navigate campus, avoid obstacles, and ensure the safety of its passengers. The autonomous system is designed to function in predefined boundaries and make use of April tags when these boundaries become obscure. Our intentions are to minimize any modifications, resulting in a system that is an extension of any slow-moving vehicle.
This paper presents the design, development, and implementation of an autonomous golf cart. The intention of the project is to improve transportation efficiency and convenience on campus. Initial testing will explore the autonomous golf cart’s ability to steer, accelerate, and break properly. The paper will also discuss the design constraints and issues that were encountered during the development. Other topics that will be covered include power systems, lane detection and data processing from sensors.
Palokaj, K., & Brock, J. B., & Selby, E., & Geyre, M., & Harper, E. V., & Cote, N. B., & Losee, J., & Sambimana, D. S., & Hu, Q. (2025, March), Slow Moving Vehicle Automation Through an Affordable Retrofit Paper presented at 2025 ASEE North Central Section (NCS) Annual Conference, Marshall University, Huntington, West Virginia. 10.18260/1-2--54686
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