• DocumentCode
    3752451
  • Title

    Vehicle Detection in Nighttime Environment by Locating Road Lane and Taillights

  • Author

    Tsong-Yi Chen;Chao-Ho Chen;Guan-Ming Luo;Wu-Chih Hu;Johng-Chern Chern

  • Author_Institution
    Dept. of Electron. Eng., Nat. Kaohsiung Univ. of Appl. Sci., Kaohsiung, Taiwan
  • fYear
    2015
  • Firstpage
    60
  • Lastpage
    63
  • Abstract
    In this study, we developed a driver-assistance system on Lane Detection during nighttime by mounting a CCD camera inside the car to capture images and to use computer visions to detect lanes and the driving condition in front of the vehicle. This system can increase the safety of driving during low light condition. The features of this system includes: lane detection, surrounding vehicles detection, lane deviation detection, and distance estimation. After testing on highways with high volume of vehicles, the system in this study can actually reach the ideal results. The camera execution speed can reach about 20 frames per second. This could accomplish the real-time image progressing on highways.
  • Keywords
    "Vehicles","Vehicle detection","Cameras","Estimation","Road transportation","Image color analysis","Mathematical model"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/IIH-MSP.2015.82
  • Filename
    7415758