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Mathematical Problems in Engineering
Volume 2015, Article ID 545498, 5 pages
http://dx.doi.org/10.1155/2015/545498
Research Article

Development and Application of the Stereo Vision Tracking System with Virtual Reality

1Department of Information Management, Chia Nan University of Pharmacy & Science, Tainan 717, Taiwan
2Department of Applied Geoinformatics, 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 10075, Taiwan

Received 28 June 2014; Accepted 9 September 2014

Academic Editor: Stephen D. Prior

Copyright © 2015 Chia-Sui Wang 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.

Abstract

A virtual reality (VR) driver tracking verification system is created, of which the application to stereo image tracking and positioning accuracy is researched in depth. In the research, the feature that the stereo vision system has image depth is utilized to improve the error rate of image tracking and image measurement. In a VR scenario, the function collecting behavioral data of driver was tested. By means of VR, racing operation is simulated and environmental (special weathers such as raining and snowing) and artificial (such as sudden crossing road by pedestrians, appearing of vehicles from dead angles, roadblock) variables are added as the base for system implementation. In addition, the implementation is performed with human factors engineered according to sudden conditions that may happen easily in driving. From experimental results, it proves that the stereo vision system created by the research has an image depth recognition error rate within 0.011%. The image tracking error rate may be smaller than 2.5%. In the research, the image recognition function of stereo vision is utilized to accomplish the data collection of driver tracking detection. In addition, the environmental conditions of different simulated real scenarios may also be created through VR.