• DocumentCode
    720497
  • Title

    Sensor fusion for sense and avoid for small UAS without ADS-B

  • Author

    Jackson, Joseph A. ; Boskovic, Jovan D. ; Diel, David

  • Author_Institution
    Intell. & Autonomous Control Syst. Group, Sci. Syst. Co., Inc., Woburn, MA, USA
  • fYear
    2015
  • fDate
    9-12 June 2015
  • Firstpage
    784
  • Lastpage
    793
  • Abstract
    Small UAS have highly constrained payload capacity, which dictates what sensors and transmitters can be selected as part of the electronics suite. We present elements of a sense and avoid (SAA) system which enables UAVs to track intruder aircraft not broadcasting ADS-B. Such SAA methods help assure safety in cases of late encounters with non-cooperative threats. This paper presents an approach to selecting a multi-modal sensor suite and fusing measurements without reliance on ADS-B broadcasts. Dubbed ASSIST (AsynchronouS Sensor fusIon SysTem) for UAS, the system fuses whatever sensors are available when ADS-B is not available, such as camera, ground-based radar (GBR) and airborne-based radar (ABR) measurements with Mode C Transponder information to achieve threat estimation accuracy similar to that obtained using ADS-B. By using the GBR as the baseline, ASSIST effectively removes both ground and aerial clutter.
  • Keywords
    autonomous aerial vehicles; sensor fusion; ADS-B broadcasts; ASSIST; SAA system; UAV; asynchronous sensor fusion system; electronics suite; payload capacity; sense and avoid system; small UAS; unmanned aerial vehicles; unmanned aircraft system; Accuracy; Airborne radar; Aircraft; Clutter; Collision avoidance; Radar tracking;
  • 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.2015.7152362
  • Filename
    7152362