Work in Progress: Augmented Reality System for Vehicle Health Diagnostics and Maintenance
- Conference
- Location
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Virtual On line
- Publication Date
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June 22, 2020
- Start Date
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June 22, 2020
- End Date
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June 26, 2021
- Conference Session
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Computing and Information Technology Division Technical Session 9
- Tagged Division
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Computing and Information Technology
- Page Count
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10
- DOI
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10.18260/1-2--35613
- Permanent URL
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https://strategy.asee.org/35613
- Download Count
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847
Paper Authors
Yuzhong Shen Old Dominion University
Yuzhong Shen received his B.S. degree in Electrical Engineering from Fudan University, Shanghai, China, M.S. degree in Computer Engineering from Mississippi State University, Starkville, Mississippi, and Ph.D. degree in Electrical Engineering from the University of Delaware, Newark, Delaware. His research interests include computer graphics, visualization, serious games, signal and image processing, and modeling and simulation. Dr. Shen is currently a Professor of the Department of Computational Modeling and Simulation Engineering and the Department of Electrical and Computer Engineering of Old Dominion University. He is also affiliated with Virginia Modeling, Analysis, and Simulation Center (VMASC). Dr. Shen is a Senior Member of IEEE.
Anthony W. Dean Old Dominion University
Dr. Anthony W. Dean has had several roles in academia. He is currently Assistant Dean for Research, Batten College of Engineering and Technology (BCET) at ODU. His previous appointments include Associate Professor of Engineering Technology and as Associate Director of the Institute for Ship Repair, Maintenance, and Operations at Old Dominion University (ODU).His research has focused mostly on control systems (integration and testing) and the reliability and maintainability of complex systems. He has been selected as both a NASA and an ONR Faculty Fellow. He regularly teaches courses in Marine Engineering and in Maintained Systems. Most recently Dr. Dean was on the Headquarters Staff the American Society of Naval Engineers. He received his Ph.D. from the Department of Engineering Management and Systems Engineering, and a B.S. in Nuclear Engineering Technology, from the Batten College of Engineering and Technology at Old Dominion University. Additionally, Dr. Dean received an MBA from the College of William and Mary. Prior to is academic career Dr. Dean was Director of Operations and Business Development for Clark-Smith Associates, P.C., and served as an Electrician in the US Navy aboard the USS South Carolina and the USS Enterprise.
Rafael Landaeta Old Dominion University
Dr. Landaeta is an Associate Professor with tenure in the department of Engineering Management and Systems Engineering at Old Dominion University in Norfolk, Virginia. He holds a Ph.D. in Industrial Engineering and a M.S. in Engineering Management from the University of Central Florida, as well as, a B.S. in Mechanical Engineering from UNITEC Venezuela. He serves as an Associate Editor for the Engineering Management Journal and is the Old Dominion University Faculty Advisor of the Student Chapter of the Society of Hispanic Professional Engineers and the Student Chapter of the Engineering Management Honor Society.His scholarship focuses on generating, transferring, and applying multi-disciplinary knowledge that addresses current and future challenges in knowledge-intensive organizations. He has provided management coaching, training, and consulting to Fortune 100 companies and large government organizations. The American Society for Engineering Management recognized him with two Meritorious Service Awards in 2006 and 2012 and was elected Fellow of the society in 2014. Old Dominion University recognized him with the Shining Star Award in 2010, the Batten College of Engineering and Technology Excellence in Teaching Award in 2008 and the Industry Engagement Award in 2014. He was selected an entrepreneurship "Entsminger fellow" by Old Dominion University in 2015.
Abstract
This paper discusses undergraduate research to develop an augmented reality (AR) system for diagnostics and maintenance of the Joint Light Tactical Vehicle (JLTV) employed by U.S. Army and U.S. Marine Corps. The JLTV’s diagnostic information will be accessed by attaching a Bluetooth adaptor (Ford Reference Vehicle Interface) to JLTV’s On-board diagnostics (OBD) system. The proposed AR system will be developed for mobile devices (Android and iOS tablets and phones) and it communicates with the JLTV’s OBD via Bluetooth. The AR application will contain a simplistic user interface that reads diagnostic data from the JLTV, shows vehicle sensors, and allows users to create virtual dashboards to display various information. It will also contain interactive presentation and visualization of JLTV external and internal parts and 3D animations for diagnostic and maintenance. The AR application will consist of two modes: Standalone Mode and AR Mode. Standalone Mode does not require a real vehicle and it contains interactive 3D visualizations and animations for diagnostic and maintenance. The AR Mode requires the presence of a vehicle and projects instructions and animations to the vehicle components and parts under diagnosis and maintenance.
This project contains several major tasks: 1) 3D modeling of the vehicle, including all internal and external parts to be displayed in the AR application, 2) 3D printing of the vehicles that only requires the external parts that requires conversion from the file format used in Task 1 and further optimization of the model for 3D printing, 3) software development in Unity that utilizes mobile devices and Vuforia to generate the AR application for vehicle maintenance and operation, and 4) preliminary research on software and information architecture to support efficient development of AR applications. This project is most relevant to the following ABET outcomes: 1) an ability to function on multidisciplinary teams and 2) an ability to communicate effectively, and 3) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. This paper discusses the challenges and effective approaches in designing and executing undergraduate research projects that utilizing the latest computing and information technology for military applications, such as proper project scope, open source hardware and software, emulators for large scale equipment, 3D printing to reduce development complexity and facilitate rapid application development.
Shen, Y., & Dean, A. W., & Landaeta, R. (2020, June), Work in Progress: Augmented Reality System for Vehicle Health Diagnostics and Maintenance Paper presented at 2020 ASEE Virtual Annual Conference Content Access, Virtual On line . 10.18260/1-2--35613
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