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

Kuei-Shu Hsu, Chia-Sui Wang, Jinn-Feng Jiang and Hung-Yuan Wei

Mathematical Problems in Engineering, 2015, vol. 2015, 1-5

Abstract:

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.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:913408

DOI: 10.1155/2015/913408

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