Avoid Systems

Avoid Systems is a subsystem within Unmanned Aircraft Systems that comprises the computational and sensor-based mechanisms responsible for detecting, assessing, and mitigating potential collisions with obstacles or other aircraft, thereby enabling safe autonomous navigation in shared airspace.

75

Publications

2K

Citations

226

Authors

69

Institutions

Publications per year

2017–2026

25

Authors

226

  1. WS
    William Semke

    University of North Dakota, United States

    6 publications · 138 citations

    6

    h-index

  2. GF
    Giancarmine Fasano

    University of Naples Federico II, Italy

    5 publications · 163 citations

    5

    h-index

  3. JB
    J. Bokor

    Hungarian Academy of Sciences, Hungary

    5 publications · 91 citations

    5

    h-index

  4. ÁZ
    Ákos Zarándy

    Hungarian Academy of Sciences, Hungary

    5 publications · 91 citations

    5

    h-index

  5. TZ
    Tamás Zsedrovits

    Pázmány Péter Catholic University, Hungary

    4 publications · 80 citations

    4

    h-index

1–5 of 226

Venues

  1. IEEE Aerospace and Electronic Systems Magazine

    7 publications · 195 citations

    7

    h-index

  2. NASA Technical Reports Server (NASA)

    Repository · 3 publications · 48 citations

    3

    h-index

  3. AIAA Guidance, Navigation and Control Conference and Exhibit

    Conference · 2 publications · 40 citations

    2

    h-index

  4. 2

    h-index

  5. Drones

    2 publications · 98 citations

    2

    h-index

1–5