• DocumentCode
    2419467
  • Title

    Improving endurance of autonomous aerial vehicles through intelligent service-station placement

  • Author

    Godzdanker, Roy ; Rutherford, Matthew J. ; Valavanis, Kimon P.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Denver, Denver, CO, USA
  • fYear
    2012
  • fDate
    14-18 May 2012
  • Firstpage
    3179
  • Lastpage
    3184
  • Abstract
    A limitation of small-scale, autonomous, vertical take-off and landing (VTOL) vehicles is their relatively short flight time. This hinders their broad applicability for many commercial applications. In previous work, we present the design and implementation of ISLANDS, an autonomous self-leveling landing platform for VTOL vehicles, along with an initial approach to their placement in the field of work. In this paper, we present several new approaches for improved station placement in a field of work of arbitrary shape and size, given sensor characteristics and the nature of the application. We present these algorithms in the context of a generic survey application, but they generalize to many other applications such as search and rescue, traffic monitoring, and environment monitoring.
  • Keywords
    aircraft landing guidance; autonomous aerial vehicles; helicopters; intelligent robots; ISLANDS; VTOL vehicle; autonomous aerial vehicle; autonomous self-leveling landing platform; flight time; intelligent service station placement; landing vehicle; vertical take-off vehicle; Equations; Geometry; Helicopters; Mathematical model; Robot sensing systems; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2012 IEEE International Conference on
  • Conference_Location
    Saint Paul, MN
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4673-1403-9
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ICRA.2012.6225263
  • Filename
    6225263