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Mathematical Problems in Engineering
Volume 2015, Article ID 913408, 5 pages
Research Article

Development of a Real-Time Detection System for Augmented Reality Driving

1Department of Applied Geoinformatics, Chia Nan University of Pharmacy & Science, No. 60, Section 1, Erren Road, Rende District, Tainan 71710, Taiwan
2Department of Information Management, Chia Nan University of Pharmacy & Science, Tainan 717, Taiwan
3Project Coordination and Liaison Section, Planning and Promotion Department, Metal Industries Research and Development Center, Taipei, Taiwan

Received 18 September 2014; Accepted 7 December 2014

Academic Editor: Mo Li

Copyright © 2015 Kuei-Shu Hsu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Augmented reality technology is applied so that driving tests may be performed in various environments using a virtual reality scenario with the ultimate goal of improving visual and interactive effects of simulated drivers. Environmental conditions simulating a real scenario are created using an augmented reality structure, which guarantees the test taker’s security since they are not subject to real-life elements and dangers. Furthermore, the accuracy of tests conducted through virtual reality is not influenced by either environmental or human factors. Driver posture is captured in real time using Kinect’s depth perception function and then applied to driving simulation effects that are emulated by Unity3D’s gaming technology. Subsequently, different driving models may be collected through different drivers. In this research, nearly true and realistic street environments are simulated to evaluate driver behavior. A variety of different visual effects are easily available to effectively reduce error rates, thereby significantly improving test security as well as the reliability and reality of this project. Different situation designs are simulated and evaluated to increase development efficiency and build more security verification test platforms using such technology in conjunction with driving tests, vehicle fittings, environmental factors, and so forth.