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

doi:10.1155/2015/913408

Chia Nan University of Pharmacy & Science Institutional Repository > 環境永續暨休閒學院 > 應用空間資訊系(所) > 期刊論文 > Item 310902800/29564

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://ir.cnu.edu.tw/handle/310902800/29564

標題:	Development of a Real-Time Detection System for Augmented Reality Driving
作者:	Hsu, Kuei-Shu Wang, Chia-Sui Jiang, Jinn-Feng Wei, Hung-Yuan
貢獻者:	應用空間資訊系資訊管理系
關鍵字:	Tracking
日期:	2015
上傳時間:	2016-04-19 19:00:25 (UTC+8)
出版者:	Hindawi Publishing Corp
摘要:	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.
關聯:	Mathematical Problems In Engineering, v.2015, Article ID 913408
显示于类别:	[資訊管理系] 期刊論文 [應用空間資訊系(所)] 期刊論文

文件中的档案:

档案	描述	大小	格式	浏览次数
29564.pdf		2511Kb	Adobe PDF	344	检视/开启
index.html		0Kb	HTML	1682	检视/开启

在CNU IR中所有的数据项都受到原著作权保护.

TAIR相关文章

数据加载中.....