Roberto Molinari

    • 57 Citations
    • 5 h-Index
    20132018
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    Fingerprint Dive into the research topics where Roberto Molinari is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

    • 3 Similar Profiles
    Calibration Engineering & Materials Science
    Sensors Engineering & Materials Science
    sensors Physics & Astronomy
    Inertial Sensors Mathematics
    Measurement errors Engineering & Materials Science
    Maximum likelihood Engineering & Materials Science
    platforms Physics & Astronomy
    Navigation Engineering & Materials Science

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    Research Output 2013 2018

    • 57 Citations
    • 5 h-Index
    • 10 Conference contribution
    • 9 Article
    • 1 Paper
    1 Citation (Scopus)

    A Computationally Efficient Framework for Automatic Inertial Sensor Calibration

    Balamuta, J. J., Molinari, R., Guerrier, S. & Yang, W., Feb 15 2018, In : IEEE Sensors Journal. 18, 4, p. 1636-1646 11 p., 8110606.

    Research output: Contribution to journalArticle

    Calibration
    sensors
    Sensors
    Measurement errors
    computer programs

    An optimal virtual inertial sensor framework using wavelet cross covariance

    Zhang, Y., Xu, H., Radi, A., Molinari, R., Guerrier, S., Karemera, M. & El-Sheimy, N., Jun 5 2018, 2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1342-1350 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Inertial Sensors
    Wavelets
    Sensor
    Sensors
    Gyroscope
    1 Citation (Scopus)

    A two-step computationally efficient procedure for IMU classification and calibration

    Bakalli, G., Radi, A., Nassar, S., Guerrier, S., Zhang, Y. & Molinari, R., Jun 5 2018, 2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 534-540 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Calibration
    Sensors
    Inertial Sensors
    Sensor
    Open Source Software
    1 Citation (Scopus)

    Improved stochastic modelling of low-cost GNSS receivers positioning errors

    Radi, A., Nassar, S., Khedr, M., El-Sheimy, N., Molinari, R. & Guerrier, S., Jun 5 2018, 2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 108-117 10 p. (2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018 - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Stochastic Modeling
    Positioning
    Navigation
    Receiver
    Satellites
    2 Citations (Scopus)

    Is nonmetastatic cutaneous melanoma predictable through genomic biomarkers?

    Branca, M., Orso, S., Molinari, R., Xu, H., Guerrier, S., Zhang, Y. & Mili, N., Jan 1 2018, In : Melanoma Research. 28, 1, p. 21-29 9 p.

    Research output: Contribution to journalArticle

    Melanoma
    Biomarkers
    Skin
    Neoplasms
    Confidence Intervals