Journal of Broadcast Engineering (방송공학회논문지)

The Korean Institute of Broadcast and Media Engineers (한국방송∙미디어공학회)
권호 표지
DOI QR코드

DOI QR Code

Edge-Based Tracking of an LED Traffic Light for a Road-to-Vehicle Visible Light Communication System

  • Premachandra, H. Chinthaka N. (Department of Electrical Engineering and Computer Science, Graduate School of Engineering, Nagoya university) ;
  • Yendo, Tomohiro (Department of Electrical Engineering and Computer Science, Graduate School of Engineering, Nagoya university) ;
  • Tehrani, Mehrdad Panahpour (Department of Electrical Engineering and Computer Science, Graduate School of Engineering, Nagoya university) ;
  • Yamazato, Takaya (Department of Electrical Engineering and Computer Science, Graduate School of Engineering, Nagoya university) ;
  • Fujii, Toshiaki (Graduate School of Science and Engineering, Tokyo Institute of Technology) ;
  • Tanimoto, Masayuki (Department of Electrical Engineering and Computer Science, Graduate School of Engineering, Nagoya university) ;
  • Kimura, Yoshikatsu (Toyota Central R & D Labs., Inc.)
  • Published : 2009.07.30
Download PDF
⟨ Previous Next ⟩

Abstract

We propose a visible light road-to-vehicle communication system at intersection as one of ITS technique. In this system, the communication between vehicle and a LED traffic light is approached using LED traffic light as a transmitter, and on-vehicle high-speed camera as a receiver. The LEDs in the transmitter are emitted in 500Hz and those emitting LEDs are captured by a high-speed camera for making communication. Here, the luminance value of each LED in the transmitter should be found for consecutive frames to achieve effective communication. For this purpose, first the transmitter should be identified, then it should be tracked for consecutive frames while the vehicle is moving, by processing the images from the high-speed camera. In our previous work, the transmitter was identified by getting the subtraction of two consecutive frames. In this paper, we mainly introduce an algorithm to track the identified transmitter in consecutive frames. Experimental results using appropriate images showed the effectiveness of the proposal.

Keywords

References

  1. F. Lindner, U. Kressel, and S. Kaelberer, “Robust Recognition of Traffic Signals,” in Proc. IEEE Intelligent Vehicle Symposium, Parma, 2004, pp. 49-53 https://doi.org/10.1109/IVS.2004.1336354
  2. K. Mori, T. Takahashi, I. Ide, H. Murase, T. Miyahara, and Y. Tamatsu. “Recognition of foggy conditions by in-vehivle camera and millimeter waveradar,” Proc. IEEE Intelligent Vehicle Symposium, Istanbul, 2007, pp. 87-92 https://doi.org/10.1109/IVS.2007.4290096
  3. S. Iwasaki, C. Premachandra, T. Endo, T. Fujii, M. Tanimoto, Y. Kimura, “Visible Light Raod-to-Vehicle Communication Using High-Speed Camera,” Proc. IEEE Intelligent Vehicle Symposium, Eindhoven, 2008, pp. 13-18 https://doi.org/10.1109/IVS.2008.4621155
  4. G. Song, K. Lee, and J. W. Lee, “Vehicle Detection by Edge-Based Candidate Generation and Appearance-Based Classification,” Proc. of IEEE Intelligent Vehicle Symposium, Eindhoven, 2008, pp. 446-451 https://doi.org/10.1109/IVS.2008.4621139
  5. P. Jeong and S. Nadevshi, “Obstacle Detection Based on the Hybrid Road Plane under the Weak Calibration Conditions,” Proc. of IEEE Intelligent Vehicle Symposium, Eindhoven, 2008, pp. 428-433 https://doi.org/10.1109/IVS.2008.4621165
  6. C.G. keller, C. Sprunk, C. Bahlmann, G. Baratoff, and J. Giebel, “Real-Time Recognition of U.S. Speed Signs,” Proc. of IEEE Intelligent Vehicle Symposium, Eindhoven, 2008, pp. 518-523 https://doi.org/10.1109/IVS.2008.4621282
  7. T. Komine and M. Nakagawa, “Fundement analysis for visible-light communication system using LED lights,” IEEE Trans. of Consumer Electronics, Vol. 50, Issue 1, pp. 100-107, Feb. 2004 https://doi.org/10.1109/TCE.2004.1277847
  8. K. Suzuki, M. Fujita, Y. Hayashi, and K. Fukuzono, “A Study on Visually Impaired Person’s Support System Utilizing Visible Light Communication Technology at Signalized Intersections,” International Journal of ITS Research, Vol. 5, No. 1, pp.37-45, Oct. 2007
  9. O. Carmichael and M. Hebert, “Shape-Based Recognition of Wiry Objects,” IEEE Transaction of Pattern Analysis and Machine Intelligence, Vol. 26, No. 12, pp. 1537-1552, Dec. 2004 https://doi.org/10.1109/TPAMI.2004.128
  10. S. Arai, S. Mase, T. Yamazato, T. Endo, T. Fujii, M. Tanimoto, K. Kidono, Y. Kimura and Y. Ninomiya, “Experiment on Hierarchical Transmission Scheme for Visible Light Communication using LED Traffic Light and High-Speed Camera,” in Proc. IEEE International Symposiumon Wireless Vehicular Communications (WiVeC’07), 2007, pp. 2174-2178 https://doi.org/10.1109/VETECF.2007.456
  11. John Canny, A Computational Approach to Edge Detection, IEEE Transactionon Pattern Analysis and Machine Intelligence, Vol. 8, Issue 6, pp. 679-698, Nov. 1986 https://doi.org/10.1109/TPAMI.1986.4767851