A review of cooperative and uncooperative spacecraft pose determination techniques for close-proximity operations R Opromolla, G Fasano, G Rufino, M Grassi Progress in Aerospace Sciences 93, 53-72, 2017 | 321 | 2017 |
Multi-sensor-based fully autonomous non-cooperative collision avoidance system for unmanned air vehicles G Fasano, D Accardo, A Moccia, C Carbone, U Ciniglio, F Corraro, ... Journal of aerospace computing, information, and communication 5 (10), 338-360, 2008 | 190 | 2008 |
LIDAR-inertial integration for UAV localization and mapping in complex environments R Opromolla, G Fasano, G Rufino, M Grassi, A Savvaris 2016 International Conference on Unmanned Aircraft Systems (ICUAS), 649-656, 2016 | 118 | 2016 |
Uncooperative pose estimation with a LIDAR-based system R Opromolla, G Fasano, G Rufino, M Grassi Acta Astronautica 110, 287-297, 2015 | 116 | 2015 |
Pose estimation for spacecraft relative navigation using model-based algorithms R Opromolla, G Fasano, G Rufino, M Grassi IEEE Transactions on Aerospace and Electronic Systems 53 (1), 431-447, 2017 | 114 | 2017 |
A vision-based approach to UAV detection and tracking in cooperative applications R Opromolla, G Fasano, D Accardo Sensors 18 (10), 3391, 2018 | 107 | 2018 |
Sense and avoid for unmanned aircraft systems G Fasano, D Accado, A Moccia, D Moroney IEEE Aerospace and Electronic Systems Magazine 31 (11), 82-110, 2016 | 107 | 2016 |
A model-based 3D template matching technique for pose acquisition of an uncooperative space object R Opromolla, G Fasano, G Rufino, M Grassi Sensors 15 (3), 6360-6382, 2015 | 87 | 2015 |
Radar/electro-optical data fusion for non-cooperative UAS sense and avoid G Fasano, D Accardo, AE Tirri, A Moccia, E De Lellis Aerospace Science and Technology 46, 436-450, 2015 | 77 | 2015 |
Flight test of a radar-based tracking system for UAS sense and avoid D Accardo, G Fasano, L Forlenza, A Moccia, A Rispoli IEEE Transactions on Aerospace and Electronic Systems 49 (2), 1139-1160, 2013 | 75 | 2013 |
Differential GNSS and vision-based tracking to improve navigation performance in cooperative multi-UAV systems AR Vetrella, G Fasano, D Accardo, A Moccia Sensors 16 (12), 2164, 2016 | 71 | 2016 |
Assessment of a micro-UAV system for microwave tomography radar imaging G Ludeno, I Catapano, A Renga, AR Vetrella, G Fasano, F Soldovieri Remote Sensing of Environment 212, 90-102, 2018 | 64 | 2018 |
Multi-UAV formation geometries for cooperative navigation in GNSS-challenging environments F Causa, AR Vetrella, G Fasano, D Accardo 2018 IEEE/ION position, location and navigation symposium (PLANS), 775-785, 2018 | 60 | 2018 |
Airborne visual detection and tracking of cooperative UAVs exploiting deep learning R Opromolla, G Inchingolo, G Fasano Sensors 19 (19), 4332, 2019 | 56 | 2019 |
Visual-based obstacle detection and tracking, and conflict detection for small UAS sense and avoid R Opromolla, G Fasano Aerospace Science and Technology 119, 107167, 2021 | 50 | 2021 |
Multiple UAVs trajectory generation and waypoint assignment in urban environment based on DOP maps F Causa, G Fasano Aerospace Science and Technology 110, 106507, 2021 | 48 | 2021 |
Satellite angular velocity estimation based on star images and optical flow techniques G Fasano, G Rufino, D Accardo, M Grassi Sensors 13 (10), 12771-12793, 2013 | 48 | 2013 |
Design of an end-to-end demonstration mission of a Formation-Flying Synthetic Aperture Radar (FF-SAR) based on microsatellites M Grasso, A Renga, G Fasano, MD Graziano, M Grassi, A Moccia Advances in Space Research 67 (11), 3909-3923, 2021 | 43 | 2021 |
Improving navigation in GNSS-challenging environments: Multi-UAS cooperation and generalized dilution of precision F Causa, G Fasano IEEE Transactions on Aerospace and Electronic Systems 57 (3), 1462-1479, 2020 | 43 | 2020 |
Avionics systems panel research and innovation perspectives R Sabatini, A Roy, E Blasch, KA Kramer, G Fasano, I Majid, OG Crespillo, ... IEEE Aerospace and Electronic Systems Magazine 35 (12), 58-72, 2020 | 42 | 2020 |