Abstract
In this chapter, a mobile augmented reality prototype to support the process of manufacturing an all-terrain vehicle (ATV) is presented. The main goal is assisting the automotive industry in the manufacturing process regarding vehicle design and new model’s introduction; in addition, the activities of training and quality control can be supported. The prototype is composed of three main stages: (a) welding inspection, (b) measuring of critical dimensions inspection, and (c) mounting of virtual accessories in the chassis. A set of 3D models and 2D objects was used as virtual elements related to augmented reality. The prototype was tested regarding usability in a real industrial stage by measuring the scope of markers’ detection and by means of a survey. The results obtained demonstrated that the prototype is useful for the manufacturing of an ATV.
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References
Aras, M., Shahrieel, M., Zambri, M., Khairi, M., Rashid, A., Zamzuri, M., et al. (2015). Dynamic mathematical design and modelling of autonomous control of all-terrain vehicles (ATV) using system identification technique based on pitch and yaw stability. International Review of Automatic Control (IREACO), 8(2), 140–148.
Autodesk. (2017, September). 3D modeling with Autodesk, [On Line]. Available: https://www.autodesk.com/solutions/3d-modeling-software.
Azman, M., Tamaldin, N., Redza, F., Nizam, M., & Mohamed, A. (2014). Analysis of the chassis and components of all-terrain vehicle (ATV). Applied Mechanics and Materials, 660, 753–757.
Benham, E., Ross, S., Mavilia, M., Fescher, P., Britton, A., & Sing, R. (2017). Injuries from all-terrain vehicles: An opportunity for injury prevention. The American Journal of Surgery, 214(2), 211–216.
Bradley, D. (2010). Mechatronics—More questions than answers. Mechatronics, 20, 827–841.
Bradley, D., Russell, D., Ferguson, I., Isaacs, J., MacLeod, A., & White, R. (2015). The Internet of Things—The future or the end of mechatronics. Mechatronics, 27, 57–74.
Brosvision. (2017, September). Augmented reality marker generator [On Line]. Available: http://www.brosvision.com/ar-marker-generator/.
Chatzopoulos, D., Bermejo, C., Huang, Z., & Hui, P. (2017). Mobile augmented reality survey: From where we are to where we go. IEEE Access, 5, 6917–6950.
Doshi, A., Smith, R., Thomas, B., & Bouras, C. (2017). Use of projector based augmented reality to improve manual spot-welding precision and accuracy for automotive manufacturing. The International Journal of Advanced Manufacturing Technology, 89(5–8), 1279–1293.
Elia, V., Grazia, M., & Lanzilotto, A. (2016). Evaluating the application of augmented reality devices in manufacturing from a process point of view: An AHP based model. Expert Systems with Applications, 63, 187–197.
Fang, H., Ong, S., & Nee, A. (2012). Interactive robot trajectory planning and simulation using augmented reality. Robotics and Computer-Integrated Manufacturing, 28(2), 227–237.
Fleming, S. (2010). All-terrain vehicles: How they are used, crashes, and sales of adult-sized vehicles for children’s use (1st ed.). Washington D.C., USA: Diane Publishing Co.
Gattullo, M., Uva, A., Fiorentino, M., & Gabbard, J. (2015a). Legibility in industrial AR: Text style, color coding, and illuminance. IEEE Computer Graphics and Applications, 35(2), 52–61.
Gattullo, M., Uva, A., Fiorentino, M., & Monno, G. (2015b). Effect of text outline and contrast polarity on AR text readability in industrial lighting. IEEE Transactions on Visualization and Computer Graphics, 21(5), 638–651.
Gavish, N., Gutiérrez, T., Webel, S., Rodríguez, J., Peveri, M., Bockholt, U., et al. (2015). Evaluating virtual reality and augmented reality training for industrial maintenance and assembly tasks. Interactive Learning Environments, 23(6), 778–798.
Hsien, Y., Lee, M., Luo, T., & Liao, C. (2014). Toward smart machine tools in Taiwan. IT Professional, 16(6), 63–65.
Lee, S., & Akin, O. (2011). Augmented reality-based computational fieldwork support for equipment operations and maintenance. Automation in Construction, 20(4), 338–352.
Lima, J., Robert, R., Simoes, F., Almeida, M., Figueiredo, L., Teixeira, J., et al. (2017). Markerless tracking system for augmented reality in the automotive industry. Expert Systems with Applications, 82, 100–114.
Liu, Y., Liu, Y., & Chen, J. (2015). The impact of the Chinese automotive industry: Scenarios based on the national environmental goals. Journal of Cleaner Production, 96, 102–109.
Mota, J., Ruiz-Rube, I., Dodero, J., & Arnedillo-Sánchez, I. (2017). Augmented reality mobile app development for all. Computers and Electrical Engineering, article in press.
Nee, A., Ong, S., Chryssolouris, G., & Mourtzis, D. (2012). Augmented reality applications in design and manufacturing. CIRP Annals—Manufacturing Technology, 61, 657–679.
Odenthal, B., Mayer, M., KabuB, W., & Schlick, C. (2012). A comparative study of head-mounted and table-mounted augmented vision systems for assembly error detection. Human Factors and Ergonomics in Manufacturing & Service Industries, 24(1), 105–123.
Ong, S., & Zhu, J., (2013). A novel maintenance system for equipment serviceability improvement. CIRP Annals—Manufacturing Technology, 62(1), 39–42.
Palmarini, R., Ahmet, J., Roy, R., & Torabmostaedi, H. (2018). A systematic review of augmented reality applications in maintenance. Robotics and Computer-Integrated Manufacturing, 49, 215–228.
PTC Inc. (2017, September). Vuforia, [On Line]. Available: https://www.vuforia.com/.
Schoner, H. (2004). Automotive mechatronics. Control Engineering Practice, 12(11), 1343–1351.
Syberfelt, A., Danielsson, O., & Gustavson, P. (2017). Augmented reality smart glasses in the smart factory: Product evaluation guidelines and review of available products. IEEE Access, 5, 9118–9130.
Unity Technologies. (2017, September). Unity-products, [On Line]. Available: https://unity3d.com/es/unity.
Webel, S., Bockholt, U., Engelke, T., Gavish, N., Olbrich, M., & Preusche, C. (2013). An augmented reality training platform for assembly and maintenance skills. Robotics and Autonomous Systems, 61(4), 398–403.
Westerfield, G., Mitrovic, A., & Billinghurst, M. (2015). Intelligent augmented reality training for motherboard assembly. International Journal of Artificial Intelligence in Education, 25(1), 157–172.
Williams, A., Oesch, S., McCartt, A., Teoh, E., & Sims, L. (2014). On-road all-terrain vehicle (ATV) fatalities in the United States. Journal of Safety Research, 50, 117–123.
Yew, A., Ong, S., & Nee, A. (2016). Towards a griddable distributed manufacturing system with augmented reality interfaces. Robotics and Computer-Integrated Manufacturing, 39, 43–55.
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Nava Orihuela, E.D., Vergara Villegas, O.O., Cruz Sánchez, V.G., Barraza Castillo, R.I., López Solorzano, J.G. (2018). Mobile Augmented Reality Prototype for the Manufacturing of an All-Terrain Vehicle. In: Vergara Villegas, O., Nandayapa , M., Soto , I. (eds) Advanced Topics on Computer Vision, Control and Robotics in Mechatronics. Springer, Cham. https://doi.org/10.1007/978-3-319-77770-2_3
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