VIRTUAL REALITY TRAINING SYSTEM BASED ON 3D SCANNED AUTOMOTIVE PARTS

Radu COMES, Călin NEAMȚU, Anca GRAJDEANU, Stefan BODI

Abstract


The paper proposes a workflow methodology to obtain accurate 3D models optimized for various virtual reality training environment. The case study within the paper is focused on automotive mechanics training with specific scenarios focused on component recognition and assembly. The virtual reality application has been developed in Unity 3D and it enables users to experience the immersive virtual reality environment with a wide variety of Head Mount Display setups from various manufacturers. The 3D models used within the environment have been obtained using structured light scanning technologies applied on real components to ensure that the 3D models are accurate replicas of the real components both in terms of geometrical dimensions as well as visual properties. The proposed virtual reality system represents an upgraded version of the usual human-machine training system by enabling users to have access to detailed 3D models directly in an immersive virtual reality environment therefore replacing the need to have the available material resources available locally at the training facility as physical parts, assemblies and equipment which require warehousing and specific manipulation and logistics.

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References


“Virtual Reality Headset Market Report: Trends, Forecast and Competitive Analysis.” https://www.researchandmarkets.com/reports/4772868/virtual-reality-headset-market-report-trends (accessed Dec. 28, 2020).

T. A. DeFanti et al., “The StarCAVE, a third-generation CAVE and virtual reality OptIPortal,” Futur. Gener. Comput. Syst., vol. 25, no. 2, pp. 169–178, Feb. 2009, doi: 10.1016/j.future.2008.07.015.

A. S. S. Thomsen et al., “Operating Room Performance Improves after Proficiency-Based Virtual Reality Cataract Surgery Training,” Ophthalmology, vol. 124, no. 4, pp. 524–531, Apr. 2017, doi: 10.1016/j.ophtha.2016.11.015.

H. Eschen, T. Kötter, R. Rodeck, M. Harnisch, and T. Schüppstuhl, “Augmented and Virtual Reality for Inspection and Maintenance Processes in the Aviation Industry,” in Procedia Manufacturing, Jan. 2018, vol. 19, pp. 156–163, doi: 10.1016/j.promfg.2018.01.022.

C. Florin, A. Pisla, C. Vaida, B. Gherman, and D. Pisla, “Development of a Virtual Reality Simulator for a Lower Limb Rehabilitation Robot,” 2020 IEEE Int. Conf. Autom. Qual. Testing, Robot., pp. 1–6, 2020.

Y. Jang and E. Park, “An adoption model for virtual reality games: The roles of presence and enjoyment,” Telemat. Informatics, vol. 42, p. 101239, Sep. 2019, doi: 10.1016/j.tele.2019.101239.

P. Zimmermann, “Virtual Reality Aided Design. A survey of the use of VR in automotive industry,” in Product Engineering, Springer Netherlands, 2008, pp. 277–296.

J. Xu, N. Xi, C. Zhang, Q. Shi, and J. Gregory, “Real-time 3D shape inspection system of automotive parts based on structured light pattern,” Opt. Laser Technol., vol. 43, no. 1, pp. 1–8, Feb. 2011, doi: 10.1016/j.optlastec.2010.04.008.

W. Hutabarat et al., “Combining virtual reality enabled simulation with 3D scanning technologies towards smart manufacturing,” in Proceedings - Winter Simulation Conference, Jul. 2016, vol. 0, pp. 2774–2785, doi: 10.1109/WSC.2016.7822314.

W. X. Quevedo et al., “Virtual reality system for training in automotive mechanics,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2017, vol. 10324 LNCS, pp. 185–198, doi: 10.1007/978-3-319-60922-5_14.

“Wrench.” http://www.wrenchgame.com/index.html (accessed Jan. 06, 2021).

“VRED | 3D Visualization And Visual Prototyping Software | Autodesk.” https://www.autodesk.com/products/vred/overview?plc=VRDDES&term=1-YEAR&support=ADVANCED&quantity=1 (accessed Jan. 06, 2021).

“The 3DEXPERIENCE platform, a Game Changer for Business and Innovation | Dassault Systèmes.” https://www.3ds.com/3dexperience (accessed Jan. 06, 2021).

V. H. Andaluz et al., “Multi-user Industrial Training and Education Environment,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, vol. 10851 LNCS, pp. 533–546, doi: 10.1007/978-3-319-95282-6_38.

“Industrial 3D Scanner | Space Spider | 3D Scanning in High Resolution.” https://www.artec3d.com/portable-3d-scanners/artec-spider (acc Jan. 07, 2021).


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