• DocumentCode
    3033788
  • Title

    A sensor based assessment of imminent collisions at right angle intersections

  • Author

    Streib, Kevin ; Ozguner, Umit ; Martin, John ; Mochizuki, Yutaka ; Ishikawa, Kei

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH
  • fYear
    2008
  • fDate
    22-24 Sept. 2008
  • Firstpage
    210
  • Lastpage
    215
  • Abstract
    This report summarizes the feasibility of using light detection and ranging (LIDAR) data to track an oncoming vehicle at a right angle intersection with the ultimate goal of determining the severity of a potential collision. The vehicle tracking system (VTS) that was developed to transform raw LIDAR data into a useable format and track potential vehicles during consecutive scans will be described in detail. Furthermore, the results from tests using the VTS to track approaching vehicles on both simulated and experimental LIDAR data will be provided.
  • Keywords
    optical radar; tracking; imminent collision; light detection and ranging data; right angle intersection; sensor based assessment; vehicle tracking system; Approximation algorithms; Clustering algorithms; Euclidean distance; Laser radar; Least squares approximation; Radar tracking; Safety; Shape; Testing; Vehicle detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Electronics and Safety, 2008. ICVES 2008. IEEE International Conference on
  • Conference_Location
    Columbus, OH
  • Print_ISBN
    978-1-4244-2359-0
  • Electronic_ISBN
    978-1-4244-2360-6
  • Type

    conf

  • DOI
    10.1109/ICVES.2008.4640885
  • Filename
    4640885