Francesco Fioranelli
Francesco Fioranelli
Associate Professor, TU Delft
Verified email at - Homepage
Cited by
Cited by
Bi-LSTM network for multimodal continuous human activity recognition and fall detection
H Li, A Shrestha, H Heidari, J Le Kernec, F Fioranelli
IEEE Sensors Journal 20 (3), 1191-1201, 2019
Radar and RGB-depth sensors for fall detection: A review
E Cippitelli, F Fioranelli, E Gambi, S Spinsante
IEEE Sensors Journal 17 (12), 3585-3604, 2017
Suppression of mainbeam deceptive jammer with FDA-MIMO radar
L Lan, J Xu, G Liao, Y Zhang, F Fioranelli, HC So
IEEE Transactions on Vehicular Technology 69 (10), 11584-11598, 2020
Micro-Doppler based detection and tracking of UAVs with multistatic radar
F Hoffmann, M Ritchie, F Fioranelli, A Charlish, H Griffiths
2016 IEEE radar conference (RadarConf), 1-6, 2016
Review of radar classification and RCS characterisation techniques for small UAVs or drones
JS Patel, F Fioranelli, D Anderson
IET Radar, Sonar & Navigation 12 (9), 911-919, 2018
Classification of unarmed/armed personnel using the NetRAD multistatic radar for micro-Doppler and singular value decomposition features
F Fioranelli, M Ritchie, H Griffiths
IEEE Geoscience and Remote Sensing Letters 12 (9), 1933-1937, 2015
Continuous human activity classification from FMCW radar with Bi-LSTM networks
A Shrestha, H Li, J Le Kernec, F Fioranelli
IEEE Sensors Journal 20 (22), 13607-13619, 2020
Micro-drone RCS analysis
M Ritchie, F Fioranelli, H Griffiths, B Torvik
2015 IEEE Radar Conference, 452-456, 2015
Multistatic micro‐Doppler radar feature extraction for classification of unloaded/loaded micro‐drones
M Ritchie, F Fioranelli, H Borrion, H Griffiths
IET Radar, Sonar & Navigation 11 (1), 116-124, 2017
Classification of loaded/unloaded micro‐drones using multistatic radar
F Fioranelli, M Ritchie, H Griffiths, H Borrion
Electronics Letters 51 (22), 1813-1815, 2015
Personnel recognition and gait classification based on multistatic micro-Doppler signatures using deep convolutional neural networks
Z Chen, G Li, F Fioranelli, H Griffiths
IEEE Geoscience and Remote Sensing Letters 15 (5), 669-673, 2018
RF sensing technologies for assisted daily living in healthcare: A comprehensive review
SA Shah, F Fioranelli
IEEE Aerospace and Electronic Systems Magazine 34 (11), 26-44, 2019
Continuous human motion recognition with a dynamic range-Doppler trajectory method based on FMCW radar
C Ding, H Hong, Y Zou, H Chu, X Zhu, F Fioranelli, J Le Kernec, C Li
IEEE Transactions on Geoscience and Remote Sensing 57 (9), 6821-6831, 2019
Radar signal processing for sensing in assisted living: The challenges associated with real-time implementation of emerging algorithms
J Le Kernec, F Fioranelli, C Ding, H Zhao, L Sun, H Hong, J Lorandel, ...
IEEE Signal Processing Magazine 36 (4), 29-41, 2019
Practical classification of different moving targets using automotive radar and deep neural networks
A Angelov, A Robertson, R Murray‐Smith, F Fioranelli
IET Radar, Sonar & Navigation 12 (10), 1082-1089, 2018
Monostatic and bistatic radar measurements of birds and micro-drone
M Ritchie, F Fioranelli, H Griffiths
2016 IEEE Radar Conference (RadarConf), 1-5, 2016
Suppression approach to main-beam deceptive jamming in FDA-MIMO radar using nonhomogeneous sample detection
L Lan, G Liao, J Xu, Y Zhang, F Fioranelli
IEEE Access 6, 34582-34597, 2018
Multisensor data fusion for human activities classification and fall detection
H Li, A Shrestha, F Fioranelli, J Le Kernec, H Heidari, M Pepa, E Cippitelli, ...
2017 IEEE sensors, 1-3, 2017
Radar sensing for healthcare: Associate editor francesco fioranelli on the applications of radar in monitoring vital signs and recognising human activity patterns
DF Fioranelli, DSA Shah, H Li1, A Shrestha, DS Yang, DJL Kernec
Electronics Letters 55 (19), 1022-1024, 2019
Feature diversity for optimized human micro-Doppler classification using multistatic radar
F Fioranelli, M Ritchie, SZ Gurbuz, H Griffiths
IEEE Transactions on Aerospace and Electronic Systems, 2017
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