| A neural network approach to navigation of a mobile robot and obstacle avoidance in dynamic and unknown environments F SHAMSFAKHR, B SADEGHIBIGHAM | 55 | 2017 |
| Cramer–Rao lower bound attainment in range-only positioning using geometry: The G-WLS D Fontanelli, F Shamsfakhr, L Palopoli IEEE Transactions on Instrumentation and Measurement 70, 1-14, 2021 | 27 | 2021 |
| An uncertainty-driven and observability-based state estimator for nonholonomic robots D Fontanelli, F Shamsfakhr, D Macii, L Palopoli IEEE Transactions on Instrumentation and Measurement 70, 1-12, 2021 | 25 | 2021 |
| Robot localisation using UHF-RFID tags: A Kalman smoother approach F Shamsfakhr, A Motroni, L Palopoli, A Buffi, P Nepa, D Fontanelli Sensors 21 (3), 717, 2021 | 21 | 2021 |
| Indoor mobile robot localization in dynamic and cluttered environments using artificial landmarks F Shamsfakhr, B Sadeghi Bigham, A Mohammadi Engineering Computations 36 (2), 400-419, 2019 | 21 | 2019 |
| Indoor localization uncertainty control based on wireless ranging for robots path planning F Shamsfakhr, A Antonucci, L Palopoli, D Macii, D Fontanelli IEEE Transactions on Instrumentation and Measurement 71, 1-11, 2022 | 18 | 2022 |
| GSR: Geometrical scan registration algorithm for robust and fast robot pose estimation F Shamsfakhr, BS Bigham Assembly Automation 40 (6), 801-817, 2020 | 14 | 2020 |
| UWB indoor global localisation for nonholonomic robots with unknown offset compensation D Fontanelli, F Shamsfakhr, P Bevilacqua, L Palopoli 2021 IEEE International Conference on Robotics and Automation (ICRA), 5795-5801, 2021 | 11 | 2021 |
| RFID-based robot localisation: an unconstrained optimisation problem by exploiting RSSI F Shamsfakhr, D Macii, D Fontanelli, A Motroni, P Nepa, L Palopoli, ... 2022 IEEE international instrumentation and measurement technology …, 2022 | 10 | 2022 |
| Robot localisation using UHF-RFID tags for industrial IoT applications F Shamsfakhr, L Palopoli, D Fontanelli, A Motroni, A Buffi 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 659-664, 2020 | 10 | 2020 |
| A multi-target detection and position tracking algorithm based on mmWave-FMCW radar data F Shamsfakhr, D Macii, L Palopoli, M Corrą, A Ferrari, D Fontanelli Measurement 234, 114797, 2024 | 7 | 2024 |
| Overcoming limitations of iot installations: Active sensing ugv for agricultural digital twins M Pincheira, F Shamsfakhr, J Hueller, M Vecchio 2023 IEEE International Workshop on Metrology for Agriculture and Forestry …, 2023 | 7 | 2023 |
| Uvio: An uwb-aided visual-inertial odometry framework with bias-compensated anchors initialization G Delama, F Shamsfakhr, S Weiss, D Fontanelli, A Fomasier 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 4 | 2023 |
| Selecting Smart Strategies Based on Big Data Techniques and SPACE Matrix (FASE model) MA Farajian, S Mohammadi, B Sadeghi Bigham, F Shamsfakhr Available at SSRN 3620400, 2019 | 3 | 2019 |
| Algorithms for enhanced indoor positioning and tracking based on a 60-GHz radar platform F Shamsfakhr, M Corrą, A Ferrari, D Macii, L Palopoli, D Fontanelli 2022 IEEE International Workshop on Metrology for Industry 4.0 & IoT …, 2022 | 2 | 2022 |
| Minimising the number of ranging sensors verifying target positioning uncertainty F Shamsfakhr, L Palopoli, D Fontanelli Measurement 211, 112666, 2023 | 1 | 2023 |
| Extractive text summarisation using Bayesian state estimation of sentences: A Markovian framework SG Haez, F Shamsfakhr JOURNAL OF INFORMATION SCIENCE, 2022 | 1 | 2022 |
| Ruling uncertainties in range-only robot localisation F Shamsfakhr, L Palopoli, D Macii, D Fontanelli 2021 IEEE International Instrumentation and Measurement Technology …, 2021 | 1 | 2021 |
| Extractive text summarisation using Bayesian state estimation of sentences: A Markovian framework S Ghanbari Haez, F Shamsfakhr Journal of Information Science 50 (4), 1005-1018, 2024 | | 2024 |
| Fostering Precision Agriculture through Affordable 3D LiDAR Deskewing with EKF D Dorigoni, F Shamsfakhr, M Pincheira, M Vecchio, F Antonelli 2024 IEEE Sensors Applications Symposium (SAS), 1-6, 2024 | | 2024 |
Daniele FontanelliProfessor, University of TrentoVerified email at unitn.it
