• DocumentCode
    3662519
  • Title

    Crosswalk detection based on laser scanning from moving vehicle

  • Author

    Danilo Cáceres Hernández;Alexander Filonenko;Dongwook Seo;Kang-Hyun Jo

  • Author_Institution
    Intelligent Systems Laboratory, Graduate School of Electrical Engineering, University of Ulsan, Ulsan 680-749, Korea
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1515
  • Lastpage
    1519
  • Abstract
    The safety plays the most important role for both pedestrian and driver in autonomous, semi-autonomous or non-autonomous vehicle. To improve pedestrian safety, this paper presents a new type of laser feature extraction methods for crosswalk marking through Laser Measurement System (LMS). The crosswalk detection is achieved in three stages as follows: Lane Surface Identification (LSI), Lane Marking Recognition (LMR), and finally Crosswalk Marking Detection (CMD). Preliminary results were performed and tested on a group of consecutive frames during the daylight condition to prove its effectiveness.
  • Keywords
    "Roads","Surface treatment","Vehicles","Surface emitting lasers","Laser beams","Feature extraction","Least squares approximations"
  • Publisher
    ieee
  • Conference_Titel
    Industrial Informatics (INDIN), 2015 IEEE 13th International Conference on
  • ISSN
    1935-4576
  • Electronic_ISBN
    2378-363X
  • Type

    conf

  • DOI
    10.1109/INDIN.2015.7281958
  • Filename
    7281958