Real-time Fusion

Real-Time Fusion is a fusion methodology in object detection that integrates data or predictions from multiple sources or modalities with the distinguishing requirement of executing the fusion process within strict temporal constraints to ensure immediate output availability for time-sensitive applications.

224

Publications

11K

Citations

828

Authors

342

Institutions

Publications per year

2017–2026

92

Authors

828

  1. AM
    Allen M. Waxman

    MIT Lincoln Laboratory, United States

    4 publications · 178 citations

    4

    h-index

  2. DA
    David A. Fay

    MIT Lincoln Laboratory, United States

    4 publications · 178 citations

    4

    h-index

  3. MA
    Mario Aguilar

    Teledyne Technologies (United States), United States

    4 publications · 178 citations

    4

    h-index

  4. WD
    William D. Ross

    Simon Fraser University, Canada

    4 publications · 178 citations

    4

    h-index

  5. FS
    F. Sartori

    Culham Science Centre, United Kingdom

    4 publications · 69 citations

    4

    h-index

1–5 of 828

Venues

  1. 11

    h-index

  2. Sensors

    7 publications · 475 citations

    7

    h-index

  3. IEEE Access

    6 publications · 370 citations

    6

    h-index

  4. 5

    h-index

  5. IEEE Sensors Journal

    5 publications · 167 citations

    5

    h-index

1–5