• DocumentCode
    720459
  • Title

    Terrain-based landing site selection and path planning for fixed-wing UAVs

  • Author

    Garg, Mayank ; Kumar, Abhishek ; Sujit, P.B.

  • Author_Institution
    Indraprastha Inst. of Inf. Technol. Delhi, NewDelhi, India
  • fYear
    2015
  • fDate
    9-12 June 2015
  • Firstpage
    246
  • Lastpage
    251
  • Abstract
    UAVs are used in several remote applications. While performing a mission, electro-mechanical faults can occur which requires the UAVs to land quickly and safely. Landing in emergency conditions is a time critical problem, where, the UAV needs to find a landing site and plan a path to the selected site that satisfies some safety criterion in a given time. In this paper, we use terrain information from digital elevation maps to find a list of potential landing sites, selecting a site from the list and determine a path to the selected site in a given time. We use two any time path planners - RRT and PSO for path planning in limited time and compare their performance. Simulation results are presented to validate our approach and an analysis on the effect of path cost, computational time and site selection is presented.
  • Keywords
    aerospace safety; aircraft landing guidance; autonomous aerial vehicles; digital elevation models; particle swarm optimisation; path planning; terrain mapping; trees (mathematics); PSO path planners; RRT path planners; computational time; digital elevation maps; electro-mechanical faults; emergency conditions; fixed-wing UAV; particle swarm optimization; path cost; path planning; rapidly exploring random tree; remote applications; safety criterion; terrain information; terrain-based landing site selection; unmanned aerial vehicle; Automation; Conferences; Helicopters; Path planning; Sensors; Time factors; Vegetation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Unmanned Aircraft Systems (ICUAS), 2015 International Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    978-1-4799-6009-5
  • Type

    conf

  • DOI
    10.1109/ICUAS.2015.7152297
  • Filename
    7152297