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

doi:10.1155/2015/913408

CNU IR > College of Sustainable Environment and Recreation > Dept. of Applied Geoinformatics > Periodical Articles > Item 310902800/29564

Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/29564

Title:	Development of a Real-Time Detection System for Augmented Reality Driving
Authors:	Hsu, Kuei-Shu Wang, Chia-Sui Jiang, Jinn-Feng Wei, Hung-Yuan
Contributors:	應用空間資訊系資訊管理系
Keywords:	Tracking
Date:	2015
Issue Date:	2016-04-19 19:00:25 (UTC+8)
Publisher:	Hindawi Publishing Corp
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 buildmore security verification test platforms using such technology in conjunction with driving tests, vehicle fittings, environmental factors, and so forth.
Relation:	Mathematical Problems In Engineering, v.2015, Article ID 913408
Appears in Collections:	[Dept. of Information Management] Periodical Articles [Dept. of Applied Geoinformatics] Periodical Articles

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