Sensor Signal Processing

Sensor Signal Processing is a methodological framework within the domain of robot sensors that transforms raw sensor data into refined, actionable information through computational algorithms, distinguishing it from other sensor-related processes by its focus on enhancing signal fidelity, extracting relevant features, and enabling accurate perception and decision-making in robotic systems.

507

Publications

25.7K

Citations

1.8K

Authors

613

Institutions

Publications per year

2017–2026

135

Variants

Sensor Signal Processing (Ssp)

Authors

1.8K

  1. RT
    Roberto Teti

    University of Naples Federico II, Italy

    6 publications · 183 citations

    6

    h-index

  2. MG
    Maysam Ghovanloo

    Georgia Institute of Technology, United States

    5 publications · 212 citations

    5

    h-index

  3. AC
    Alessandra Caggiano

    University of Naples Federico II, Italy

    5 publications · 149 citations

    5

    h-index

  4. SS
    Sergio Saponara

    University of Pisa, Italy

    4 publications · 290 citations

    4

    h-index

  5. OB
    Olga Borić-Lubecke

    University of Hawaiʻi at Mānoa, United States

    4 publications · 85 citations

    4

    h-index

1–5 of 1.8K

Venues

  1. IEEE Sensors Journal

    22 publications · 769 citations

    17

    h-index

  2. Sensors

    24 publications · 654 citations

    16

    h-index

  3. 15

    h-index

  4. IEEE Transactions on Signal Processing

    10 publications · 528 citations

    10

    h-index

  5. Procedia CIRP

    9 publications · 254 citations

    9

    h-index

1–5