Francesco Fioranelli
Francesco Fioranelli
TT Assistant Professor, TU Delft
Verified email at tudelft.nl - Homepage
Title
Cited by
Cited by
Year
Micro-drone RCS analysis
M Ritchie, F Fioranelli, H Griffiths, B Torvik
2015 IEEE Radar Conference, 452-456, 2015
1022015
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
1012015
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
832016
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
822017
Classification of loaded/unloaded micro-drones using multistatic radar
F Fioranelli, M Ritchie, H Griffiths, H Borrion
Electronics Letters 51 (22), 1813-1815, 2015
732015
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, 2016
642016
Multistatic human micro-Doppler classification of armed/unarmed personnel
F Fioranelli, M Ritchie, H Griffiths
IET Radar, Sonar & Navigation 9 (7), 857-865, 2015
612015
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
592018
Monostatic and bistatic radar measurements of birds and micro-drone
M Ritchie, F Fioranelli, H Griffiths
2016 IEEE Radar Conference (RadarConf), 1-5, 2016
492016
Performance analysis of centroid and SVD features for personnel recognition using multistatic micro-Doppler
F Fioranelli, M Ritchie, H Griffiths
IEEE Geoscience and Remote Sensing Letters 13 (5), 725-729, 2016
482016
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
472017
Review of radar classification and RCS characterisation techniques for small UAVs ordrones
JS Patel, F Fioranelli, D Anderson
IET Radar, Sonar & Navigation 12 (9), 911-919, 2018
452018
Aspect angle dependence and multistatic data fusion for micro-Doppler classification of armed/unarmed personnel
F Fioranelli, M Ritchie, H Griffiths
IET Radar, Sonar & Navigation 9 (9), 1231-1239, 2015
452015
Through-The-Wall Detection with Gated FMCW Signals using Optimized Patch-Like and Vivaldi Antennas
F Fioranelli, S Salous, I Ndip, X Raimundo
IEEE, 2014
352014
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
342018
Multistatic radar: System requirements and experimental validation
M Inggs, H Griffiths, F Fioranelli, M Ritchie, K Woodbridge
2014 International Radar Conference, 1-6, 2014
342014
Centroid features for classification of armed/unarmed multiple personnel using multistatic human micro-Doppler
F Fioranelli, M Ritchie, H Griffiths
IET Radar, Sonar & Navigation 10 (9), 1702-1710, 2016
332016
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
322017
Dynamic hand gesture classification based on radar micro-Doppler signatures
S Zhang, G Li, M Ritchie, F Fioranelli, H Griffiths
2016 CIE International Conference on Radar (RADAR), 1-4, 2016
322016
A multisensory approach for remote health monitoring of older people
H Li, A Shrestha, H Heidari, J Le Kernec, F Fioranelli
IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology …, 2018
302018
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