Real-time Perception

Real-Time Perception is a computational framework within LiDAR-based environmental understanding that enables the continuous and low-latency interpretation of sensor data to produce immediate, actionable representations of dynamic surroundings for time-critical decision-making in autonomous systems.

178

Publications

10.4K

Citations

689

Authors

275

Institutions

Publications per year

2017–2026

86

Authors

689

  1. SD
    Sylvie Droit‐Volet

    Centre National de la Recherche Scientifique, France

    5 publications · 264 citations

    5

    h-index

  2. FB
    Freya Bailes

    Western Sydney University, Australia

    3 publications · 87 citations

    3

    h-index

  3. TI
    Toru Ishida

    Kyoto University, Japan

    3 publications · 194 citations

    3

    h-index

  4. JB
    Jonathan B. Freeman

    New York University, United States

    3 publications · 261 citations

    3

    h-index

  5. ME
    Marc Erich Latoschik

    University of Würzburg, Germany

    3 publications · 77 citations

    3

    h-index

1–5 of 689

Venues

  1. Sensors

    4 publications · 421 citations

    4

    h-index

  2. Acta Psychologica

    4 publications · 127 citations

    4

    h-index

  3. Perception & Psychophysics

    3 publications · 558 citations

    3

    h-index

  4. Consciousness and Cognition

    3 publications · 174 citations

    3

    h-index

  5. Expert Systems with Applications

    3 publications · 83 citations

    3

    h-index

1–5