[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.7780/kjrs.2007.23.5.365

Representing Navigation Information on Real-time Video in Visual Car Navigation System

Joo, In-Hak (Telematics. USN Research Division, ETRI)
Lee, Seung-Yong (Telematics. USN Research Division, ETRI)
Cho, Seong-Ik (Telematics. USN Research Division, ETRI)

Publication Information

Korean Journal of Remote Sensing / v.23, no.5, 2007 , pp. 365-373 More about this Journal

Abstract

Car navigation system is a key application in geographic information system and telematics. A recent trend of car navigation system is using real video captured by camera equipped on the vehicle, because video has more representation power about real world than conventional map. In this paper, we suggest a visual car navigation system that visually represents route guidance. It can improve drivers' understanding about real world by capturing real-time video and displaying navigation information overlaid directly on the video. The system integrates real-time data acquisition, conventional route finding and guidance, computer vision, and augmented reality display. We also designed visual navigation controller, which controls other modules and dynamically determines visual representation methods of navigation information according to current location and driving circumstances. We briefly show implementation of the system.

Keywords

CNS; Telematics; Video; Route Guidance; AR;

Citations & Related Records

Reference

1	Yim, Y. U. and S.-Y. Oh, 2003. Three-feature based automatic lane detection algorithm (TFALDA) for autonomous driving, IEEE Transactions on ITS, 4(4): 219-225
2	Zhencheng, H. and Keiichi, U., 2004. Solution of Camera Registration Problem Via 3D-2D Parameterized Model Matching for On-Road Navigation, International Journal of Image and Graphics, 4(1): 3-20 DOI
3	Hartley, R. and Zisserman, A., 2000. Multiple View Geometry in Computer Vision. Cambridge University Press
4	Holzapfel, W., Sofsky, M., and Neuschaefer-Rube U., 2003. Road profile recognition for autonomous car navigation and Navstar GPS support, IEEE Transactions on Aerospace and Electronic Systems, 39(1): 2 -12 DOI ScienceOn
5	Lee, J. W., 2002. A machine vision system for lanedeparture detection. CVIU(86): 52-78
6	Park, K. S., Il-Haeng Cho, Gi-Beom Hong, Tek-Jin Nam, Jin-Young Park, Seong-Ik Cho, and In-Hak Joo, 2007. Disposition of Information Entities and Adequate Level of Information Presentation in an In-car Augmented Reality Navigation System. Lecture Notes in Computer Science, HCI International 2007. pp. 1098-1108
7	Narzt, W., Pomberger, G., Ferscha, A., Kolb, D., Muller, R., Wieghardt, J., Hortner, H., and Lindinger, C., 2003. Pervasive Information Acquisition for Mobile AR-Navigation Systems. In 5th IEEE Workshop on Mobile Computing Systems & Applications, Monterey, California, USA, October 2003, pp.13-20