H.C.N. Premachandra

Publications (2)0 Total impact

• Conference Proceeding: High-speed-camera image processing based LED traffic light detection for road-to-vehicle visible light communication

  H.C.N. Premachandra, T. Yendo, M.P. Tehrani, T. Yamazato, H. Okada, T. Fujii, M. Tanimoto
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  ABSTRACT: As one of ITS technique, a new visible light road-to-vehicle communication system at intersections is proposed. In this system, the communication between a vehicle and an LED traffic light is conducted using an LED traffic light as a transmitter, and an on-vehicle high-speed camera as a receiver. The LEDs in the transmitter emit light in high frequency and those emitting LEDs are captured by the high-speed camera for making communication. Here, the luminance value of LEDs in the transmitter should be captured in consecutive frames to achieve effective communication. For this purpose, first the transmitter should be found, then it should be tracked in consecutive frames by processing the images from the high-speed camera. In this paper, we propose new effective algorithms for finding and tracking the transmitter, which result in a increased communication speed, compared to the previous methods. Experiments using appropriate images showed the effectiveness of the proposals.
  Intelligent Vehicles Symposium (IV), 2010 IEEE; 07/2010
• Conference Proceeding: Detection of LED traffic light by image processing for visible light communication system

  H.C.N. Premachandra, T. Yendo, T. Yamasato, T. Fujii, M. Tanimoto, Y. Kimura
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  ABSTRACT: We propose a visible light road-to-vehicle communication system at intersection for ITS. In this system, the communication between vehicle and a LED traffic light is approached using LED traffic light as the transmitter, and on-vehicle high-speed camera as the receiver. The LEDs in the transmitter are emitted with 500 Hz and the images of those emitting LEDs are captured by a high-speed camera for conducting communication. In this communication, it is extremely necessary to find the transmitter and detect it for consecutive frames while vehicle is moving. In this paper, we introduce proposals for finding and detecting it for consecutive frames by image processing. Experimental results using appropriate images showed the effectiveness of the proposal.
  Intelligent Vehicles Symposium, 2009 IEEE; 07/2009