Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
권호 표지
DOI QR코드

DOI QR Code

A Method for Improving Accuracy of Image Matching Algorithm for Car Navigation System

  • Kim, Jin-Deog (Dept. of computer engineering, Dongeui University) ;
  • Moon, Hye-Young (Dept. of computer application engineering, Dongeui University)
  • Received : 2011.07.22
  • Accepted : 2011.08.10
  • Published : 2011.08.31
Download PDF
⟨ Previous Next ⟩

Abstract

Recently, various in-vehicle networks have been developed respectively in order to accomplish their own purposes such as CAN and MOST. Especially, the MOST network is usually adapted to provide entertainment service. The car navigation system is also widely used for guiding driving paths to driver. The position for the navigation system is usually acquired by GPS technology. However, the GPS technique has two serious problems. The first is unavailability in urban canyons. The second is inherent positional error rate. The problems have been studied in many literatures. However, the second still leads to incorrect locational information in some area, especially parallel roads. This paper proposes a performance tuning method of image matching algorithm for the car navigation system. The method utilizes images obtained from in-vehicle MOST network and a real-time image matching algorithm which determines the direction of moving vehicle in parallel section of road. In order to accuracy improvement of image matching algorithm, three conditions are applied. The experimental tests show that the proposed system increases the accuracy.

Keywords

References

  1. Tae-Jong Choi, JungKuk Kim, Woong Huh, and Byung-Tae Jang, "Realization of An Outdoor Augmented Reality System using GPS Tracking Method", The Journal of The institute of Electronics Engineering of Korea, Vol. 39, No. No.CI-5, pp.45-55, 2002.
  2. Chi-Ho Park, Young-Hwan Oh, "A Study for Design and Performance Improvement of the High-Sensitivity Receiver Architecture based on Global Navigation Satellite System", The Journal of The Institute of Electronics Engineers of Korea, Vol. 45, No. TC-4, pp.9-21, 2008.
  3. Hernandez-Pajares, M. Zomoza, J.M.J. Subirana, J.S. Colombo, O.L., "Feasibility of wide-area subdecimeter navigation with GALILEO and Modernized GPS", Geoscience and Remote Sensing, IEEE Transactions on, Vol.41, 2003.
  4. W.Y. Ochieng, J.W. Polak, R.B. Noland, J-Y Park & L. Zhao, P. Elliott, D. Briggs & J. Gulliver, A. Crookell & R. Evans, M. Walker & W. Randolph, "Integration of GPS and dead reckoning for real-time vehicle performance and emissions monitoring", GPS Solutions, Vol.6, pp.229-241, 2003. https://doi.org/10.1007/s10291-002-0035-1
  5. Nam-gi Kang, Jae-sun Park, Tae-min Hong, Yang-dam Eo, Byoung-kil Lee, Mu-wook Pyeon, Development of RTLS Access Point Allocation Prototype for Location Tracking in Construction Sites, INC, IMS and IDC, NCM '09. Fifth International Joint Conference on, pp. 943-948, 2009.
  6. Adachi, T., Kondo, K., Kobashi, S., Hata, Y., Identification of a Scene by Estimating the Position and Pose of a Moving Camera, Intelligent Signal Processing and Communications, 2006. ISPACS '06. International Symposium on, pp. 582-585, 2006.
  7. MOST Homepage, http://www.mostcooperation.com
  8. OpenCV KOREA, http://opencv.co.kr
  9. David G. Lowe, "Object Recognition from Local Scale-Invariant Features", Proc. of IEEE Intl. Conf. on Computer Vision (ICCV), pp. 1150-1157, 1999.
  10. Hyeyoung Moon, Jindeog Kim, "A Measuring Model of the Position of Moving Vehicle based on Integrated Vehicle Networks for Spatial Database Applications", International Journal of Maritime Information and Communication Sciences, v.8, no.1, pp.83-88, 2010.
  11. Hyeyoung Moon, Jindeog Kim, Yunsik Yu, "Positioning by using Speed and GeoMagnetic Sensor Data base on Vehicle Network", Journal of Maritime Information and Communication Sciences, v. 14, no. 12, pp.2730-2736, 2010
  12. Jindeog Kim, Hyeyoung Moon, Yunsik Yu, "A Positioning Method based on Images of In-Vehicle Networks", Proc. Of International Conference of KIMICS, v. 4, no. 1, pp.153-155, 2011