• DocumentCode
    727219
  • Title

    Cellular sensor-processor array based visual collision warning sensor

  • Author

    Zarandy, Akos ; Nemeth, Mate ; Pencz, Borbala ; Nagy, Zoltan ; Zsedrovits, Tamas

  • Author_Institution
    Inst. for Comput. Sci. & Control, Budapest, Hungary
  • fYear
    2015
  • fDate
    24-27 May 2015
  • Firstpage
    1973
  • Lastpage
    1976
  • Abstract
    Autonomous UAVs need on-board vision system to be able to navigate, avoid collisions, and execute missions. Small UAVs can carry small form factor vision system with low power consumption due to natural payload limitations. Therefore it is a natural idea to use cellular sensor-processor arrays to implement the necessary vision functions. In this paper, we present a UAV collision warning algorithm and its implementation on a 176×144 sized mixed-signal sensor-processor array. Besides the technical details of the implementation, the paper includes comparison with FPGA implementation of the same algorithm.
  • Keywords
    autonomous aerial vehicles; cellular arrays; collision avoidance; image sensors; mixed analogue-digital integrated circuits; navigation; robot vision; sensor arrays; FPGA; UAV collision warning algorithm; cellular sensor-processor array based visual collision warning sensor; collision avoidance; low power consumption; mixed-signal sensor-processor array; natural payload limitations; on-board vision system; small form factor vision system; Aircraft; Arrays; Collision avoidance; Field programmable gate arrays; Kernel; Machine vision; Noise; UAV; fine-grain cellular processor array; focal-plane sensor-processor; remote aircraft detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2015 IEEE International Symposium on
  • Conference_Location
    Lisbon
  • Type

    conf

  • DOI
    10.1109/ISCAS.2015.7169061
  • Filename
    7169061