| A vision-based approach for unmanned aerial vehicle landing C Patruno, M Nitti, A Petitti, E Stella, T D’Orazio Journal of Intelligent & Robotic Systems 95 (2), 645-664, 2019 | 53 | 2019 |
| People re-identification using skeleton standard posture and color descriptors from RGB-D data C Patruno, R Marani, G Cicirelli, E Stella, T D'Orazio Pattern Recognition 89, 77-90, 2019 | 46 | 2019 |
| Helipad detection for accurate UAV pose estimation by means of a visual sensor C Patruno, M Nitti, E Stella, T D’Orazio International Journal of Advanced Robotic Systems 14 (5), 1729881417731083, 2017 | 33 | 2017 |
| A vision-based odometer for localization of omnidirectional indoor robots C Patruno, R Colella, M Nitti, V Renò, N Mosca, E Stella Sensors 20 (3), 875, 2020 | 25 | 2020 |
| An embedded vision system for real-time autonomous localization using laser profilometry C Patruno, R Marani, M Nitti, T D'Orazio, E Stella IEEE Transactions on Intelligent Transportation Systems 16 (6), 3482-3495, 2015 | 19 | 2015 |
| Material recognition by feature classification using time-of-flight camera F Martino, C Patruno, N Mosca, E Stella Journal of Electronic Imaging 25 (6), 061412-061412, 2016 | 15 | 2016 |
| A RANSAC-based method for detecting post-assembly defects in aircraft interiors N Mosca, C Patruno, R Colella, SP Negri, E Stella 2020 IEEE 7th International Workshop on Metrology for AeroSpace …, 2020 | 10 | 2020 |
| Design of a low-cost vision system for laser profilometry aiding smart vehicles movement C Patruno, R Marani, M Nitti, T D’Orazio, E Stella Intelligent Autonomous Systems 13: Proceedings of the 13th International …, 2016 | 8 | 2016 |
| Signature extraction from 3D point clouds using frame theory for environmental modeling F Martino, C Patruno, R Marani, E Stella International Journal on Smart Sensing and Intelligent Systems 7 (5), 1-6, 2014 | 6 | 2014 |
| Laser profilometry aiding smart vehicle control C Patruno, R Marani, M Nitti, T D’orazio, E Stella International Journal on Smart Sensing and Intelligent Systems 7 (5), 1-6, 2014 | 6 | 2014 |
| Learning analytics: analysis of methods for online assessment V Renò, E Stella, C Patruno, A Capurso, G Dimauro, R Maglietta Applied Sciences 12 (18), 9296, 2022 | 5 | 2022 |
| Automatic quality control of aluminium parts welds based on 3D data and artificial intelligence A Cardellicchio, M Nitti, C Patruno, N Mosca, M di Summa, E Stella, ... Journal of Intelligent Manufacturing, 1-20, 2023 | 4 | 2023 |
| Deep learning approaches for image-based detection and classification of structural defects in bridges A Cardellicchio, S Ruggieri, A Nettis, C Patruno, G Uva, V Renò International Conference on Image Analysis and Processing, 269-279, 2022 | 4 | 2022 |
| An application of the frame theory for signature extraction in the analysis of 3D point clouds F Martino, C Patruno, R Marani, E Stella Next Generation Sensors and Systems, 289-310, 2016 | 4 | 2016 |
| Optical encoder neural network: a CNN-based optical encoder for robot localization C Patruno, V Renò, M Nitti, G Pernisco, N Mosca Optical Engineering 62 (4), 041402, 2022 | 3 | 2022 |
| A robust method for 2D occupancy map building for indoor robot navigation C Patruno, V Renò, N Mosca, M di Summa, M Nitti Multimodal Sensing and Artificial Intelligence: Technologies and …, 2021 | 3 | 2021 |
| An effective approach for 3D point cloud registration in railway contexts C Patruno, R Colella, M Nitti, E Stella Multimodal Sensing: Technologies and Applications 11059, 248-263, 2019 | 3 | 2019 |
| Post assembly quality inspection using multimodal sensing in aircraft manufacturing N Mosca, V Renò, M Nitti, C Patruno, E Stella Multimodal Sensing and Artificial Intelligence: Technologies and …, 2021 | 2 | 2021 |
| A review on deep learning techniques for railway infrastructure monitoring M Di Summa, ME Griseta, N Mosca, C Patruno, M Nitti, V Renò, E Stella IEEE Access, 2023 | 1 | 2023 |
| Qualitative comparison of methodologies for detecting surface defects in aircraft interiors N Mosca, C Patruno, V Renò, M Nitti, E Stella | 1 | 2021 |
