• DocumentCode
    1768498
  • Title

    Unmanned ground vehicle for driving based global path is lateral avoidance path planning

  • Author

    Sung-Wook Jo ; Sung-Min Park ; Jung-Ha Kim

  • Author_Institution
    Grad. Sch. of Automotive Eng., Kookmin Univ., Seoul, South Korea
  • fYear
    2014
  • fDate
    22-25 Oct. 2014
  • Firstpage
    1648
  • Lastpage
    1651
  • Abstract
    This paper is research about unmanned ground vehicle for path planning. based on global path to optimal path generating. The proposed algorithm was used to D* Lite and lateral avoidance algorithm. This algorithm used to global map and search obstacle. Presented safety avoidance path planning thought Velocity of autonomous vehicle. safety obstacle avoidance according to velocity. Current Autonomous vehicles are safety and reliable for driving research. In this paper, autonomous vehicle as a way of escaping the lateral avoidance D* Lite algorithm was used. according to the speed of the vehicle for optical lateral avoidance control for steering for the purpose of path generation. The proposed study is one of the driving research of the UGV to explore and avoid unknown obstacles on the unlimited path.
  • Keywords
    automobiles; collision avoidance; mobile robots; remotely operated vehicles; UGV; autonomous vehicle velocity; driving based global path; global map; global path generation; lateral avoidance D* Lite algorithm; lateral avoidance path planning algorithm; optical lateral avoidance control; optimal path generation; safety obstacle avoidance path planning; search obstacle; unknown obstacle avoidance; unlimited path; unmanned ground vehicle; vehicle speed; Planning; Roads; Vehicles; D* Lite; Global Path; Path Planning; Transverse avoidance; Unmanned vehicle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems (ICCAS), 2014 14th International Conference on
  • Conference_Location
    Seoul
  • ISSN
    2093-7121
  • Print_ISBN
    978-8-9932-1506-9
  • Type

    conf

  • DOI
    10.1109/ICCAS.2014.6987823
  • Filename
    6987823