• DocumentCode
    154701
  • Title

    Continuous curvature planning with obstacle avoidance capabilities in urban scenarios

  • Author

    Gonzalez, David ; Perez, J.M. ; Lattarulo, Ray ; Milanes, Vicente ; Nashashibi, Fawzi

  • Author_Institution
    Robot. & Intell. Transp. Syst. (RITS) Team, Le Chesnay, France
  • fYear
    2014
  • fDate
    8-11 Oct. 2014
  • Firstpage
    1430
  • Lastpage
    1435
  • Abstract
    This paper presents a continuous curvature planning algorithm with obstacle avoidance capabilities. The automated system generates a collision free path that considers vehicle´s constraints, the road and different obstacles inside the horizon of view. The developed planning module was integrated in the RITS (former IMARA) autonomous vehicle architecture. The goal of this module is to obtain an accurate, continuous and safe path generation, by implementing parametric curves. To this end, a continuous curvature profile when calculating vehicle trajectory is introduced. It also permits to generate different speed profiles, improving the comfort by reducing lateral accelerations in the driving process. These algorithms have been implemented in simulated -ProSiVIC- and real platforms -Cybercars- showing good results in both cases. This approach is currently being implemented in the framework of the EU CityMobil2 project.
  • Keywords
    collision avoidance; intelligent transportation systems; traffic engineering computing; EU CityMobil2 project; IMARA; RITS autonomous vehicle architecture; automated system; collision free path; continuous curvature planning algorithm; continuous curvature profile; lateral accelerations; obstacle avoidance; safe path generation; urban scenarios; vehicle constraints; vehicle trajectory; Collision avoidance; Equations; Mathematical model; Planning; Roads; Trajectory; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
  • Conference_Location
    Qingdao
  • Type

    conf

  • DOI
    10.1109/ITSC.2014.6957887
  • Filename
    6957887