Multi-sensor Perception

Multi-Sensor Perception is a systematic framework in sense-and-avoid systems that integrates data from multiple heterogeneous sensing modalities to achieve enhanced environmental awareness and object detection accuracy beyond the capabilities of individual sensors.

123

Publications

6.9K

Citations

487

Authors

211

Institutions

Publications per year

2017–2026

69

Authors

487

  1. AK
    Alois Knoll

    Technical University of Munich, Germany

    3 publications · 138 citations

    3

    h-index

  2. RX
    Runsheng Xu

    University of California, Los Angeles, United States

    3 publications · 315 citations

    3

    h-index

  3. JM
    Jiaqi Ma

    University of California, Los Angeles, United States

    3 publications · 315 citations

    3

    h-index

  4. RS
    Rui Song

    Technical University of Munich, Germany

    2 publications · 239 citations

    2

    h-index

  5. KT
    Kazuya Takeda

    Nagoya University, Japan

    2 publications · 519 citations

    2

    h-index

1–5 of 487

Venues

  1. arXiv (Cornell University)

    Repository · 7 publications · 132 citations

    7

    h-index

  2. Sensors

    7 publications · 161 citations

    6

    h-index

  3. 3

    h-index

  4. 3

    h-index

  5. 3

    h-index

1–5