Sense-and-avoid

Sense-And-Avoid is a computational framework in autonomous systems that integrates real-time environmental sensing with collision-avoidance decision-making to enable safe navigation in dynamic environments.

145

Publications

5.2K

Citations

453

Authors

163

Institutions

Publications per year

2017–2026

43

Variants

SaaSense And Avoid

Authors

453

  1. RS
    Roberto Sabatini

    RMIT University, Australia

    7 publications · 299 citations

    7

    h-index

  2. SR
    Subramanian Ramasamy

    RMIT University, Australia

    7 publications · 299 citations

    7

    h-index

  3. AG
    Alessandro Gardi

    RMIT University, Australia

    5 publications · 251 citations

    5

    h-index

  4. GF
    Giancarmine Fasano

    University of Naples Federico II, Italy

    4 publications · 72 citations

    4

    h-index

  5. DA
    Domenico Accardo

    University of Naples Federico II, Italy

    4 publications · 72 citations

    4

    h-index

1–5 of 453

Venues

  1. Robotics and Autonomous Systems

    6 publications · 317 citations

    6

    h-index

  2. Journal of Intelligent & Robotic Systems

    7 publications · 163 citations

    6

    h-index

  3. 4

    h-index

  4. Ocean Engineering

    4 publications · 175 citations

    4

    h-index

  5. Autonomous Robots

    4 publications · 175 citations

    4

    h-index

1–5