RELEVANT PUBLICATIONS

  1. L. Fotio Tiotsop, A. Servetti, E. Masala, An integer linear programming model for efficient scheduling of UGV tasks in precision agriculture under human supervision, Computers & Operations Research, Elsevier, vol. 114, Feb 2020 (in press), DOI: 10.1016/j.cor.2019.104826
  2. M. Mammarella, G. Ristoro, E. Capello, N. Bloise, G. Guglieri, F. Dabbene, Waypoint Tracking via Tube-based Robust Model Predictive Control for Crop Monitoring with Fixed-Wing UAVs, 2019 IEEE International Workshop on Metrology for Agriculture and Forestry, October 24 – 26, 2019
  3. A. Favenza, R, Imam, F. Dovis, M. Pini, Detecting water using UAV-based GNSS-Reflectometry data and Artificial Intelligence, Proceedings of 2019 IEEE International Workshop on Metrology for Agriculture and Forestry,  24-26 October 2019, Naples
  4. A. Khaliq, V. Mazzia, M. Chiaberge, Refining satellite imagery by using UAV imagery for vineyard environment: A CNN Based approach, 2019 IEEE International Workshop on Metrology for Agriculture and Forestry, October 24-26, 2019, Naples
  5. A. Minetto, A Theoretical Study on the Benefits of Integrating GNSS and Collaborative Relative Ranges, ION GNSS+ 2019, Miami, USA, Sep 2019. Best student paper award
  6. N. Gogoi, A. Minetto, F. Dovis, On the Cooperative Ranging between Android Smartphones Sharing Raw GNSS Measurements, Proceedings of Vehicular Technology Conference – fall 2019, September 22-25, 2019,  Honolulu, HI (USA)
  7. L. Fotio Tiotsop, A. Servetti, E. Masala, Optimally Scheduling Complex Logistics Operations Involving Acquisition, Elaboration and Action Tasks, Proc. IEEE 5th International Forum on Research and Technologies for Society and Industry (RTSI 2019), Firenze, Italy, Sep 2019, pp. 149-154.
  8. G. Quaglia, C. Visconte, L. S. Scimmi, M. Melchiorre, P. Cavallone, S. Pastorelli, Design of the positioning mechanism of an unmanned ground vehicle for precision agriculture, IFToMM World Congress on Mechanism and Machine Science, pp. 3531-3540, Jun 2019. DOI: 10.1007/978-3-030-20131-9_348 Best paper award
  9. G. Quaglia, C. Visconte, L. S. Scimmi, M. Melchiorre, P. Cavallone, S. Pastorelli, Robot arm and control architecture integration on a UGV for precision agriculture, IFToMM World Congress on Mechanism and Machine Science, pp. 2339-2348, Jun 2019. DOI: 10.1007/978-3-030-20131-9_231
  10. L. Fotio Tiotsop, E. Masala, A. Aldahdooh, G. Van Wallendael, M. Barkowsky, Computing Quality-of-Experience Ranges for Video Quality Estimation, Proc. 11th International Conference on Quality of Multimedia Experience, QoMEX 2019, Berlin, Jun 2019. DOI: 10.1109/QoMEX.2019.8743303
  11. J. Zoto, M. A. Musci, A. Khaliq, M. Chiaberge, I. Aicardi, Automatic Path Planning for Unmanned Ground Vehicle Using UAV Imagery. In: Berns K., Görges D. (eds) Advances in Service and Industrial Robotics. RAAD 2019. Advances in Intelligent Systems and Computing, vol 980. Jun 2019. Springer, Cham. DOI: 10.1007/978-3-030-19648-6_26
  12. A. Aldahdooh, E. Masala, G. Van Wallendael, P. Lambert, M. Barkowsky, Improving relevant subjective testing for validation: Comparing machine learning algorithms for finding similarities in VQA datasets using objective measures, Elsevier Signal Processing: Image Communication, Vol. 74, May 2019, Pages 32-41 DOI: 10.1016/j.image.2019.01.004
  13. R. Imam, M. Pini, G. Marucco, F. Dominici, F. Dovis, Data from GNSS-based passive radar to support flood monitoring operations, in 2019 International Conference on Localization and GNSS (ICL-GNSS), June 2019.  ISSN 2325-0771 pp. 1-7 DOI: 10.1109/ICL-GNSS.2019.8752942
  14. N. Gogoi, A. Minetto, N. Linty, F. Dovis, A controlled-environment quality assessment of android GNSS raw measurements, Electronics (Switzerland), vol. 8, no. 1, 2019. DOI: 10.3390/electronics8010005
  15. A. Calantropio, F. Chiabrando, D. Einaudi, L. Teppati Losè, 360° Images for UAV Multisensor Data Fusion: First Tests and Results, International archives of the photogrammetry, remote sensing and spatial information sciences. – ISSN 1682-1777 – XLII-2/W13(2019), pp. 227-234. DOI: 10.5194/isprs-archives-XLII-2-W13-227-2019
  16. A. Khaliq, L. Comba, A. Biglia, D. Ricauda Aimonino, M. Chiaberge, P. Gay, Comparison of Satellite and UAV-Based Multispectral Imagery for Vineyard Variability Assessment. Remote Sensing, vol. 11, no. 4, 2019, pp. 436. DOI: 10.3390/rs11040436
  17. F. Chiabrando, F. Giulio Tonolo, A. Lingua, UAV direct georeferencing approach in an emergency mapping context: The 2016 central Italy earthquake case study, International archives of the photogrammetry, remote sensing and spatial information sciences. – ISSN 1682-1750. 42:2(2019), pp. 247-253. DOI: 10.5194/isprs-archives-XLII-2-W13-247-2019
  18. G. Quaglia, P. Cavallone, Rese_Q: UGV for Rescue Tasks Functional Design, ASME IMECE2018 International Mechanical Engineering Congress and Exposition, Nov 2018, Vol. 4, pp. V04AT06A057. DOI: 10.1115/IMECE2018-86395
  19. A. Khaliq, M. A. Musci, M. Chiaberge, Analyzing relationship between maize height and spectral indices derived from remotely sensed multispectral imagery, IEEE Applied Imagery Pattern Recognition Workshop (AIPR), Washington, DC, USA, Oct. 2018, pp. 1-5. DOI: 10.1109/AIPR.2018.8707373
  20. A. Khaliq, M. A. Musci, M. Chiaberge, Understanding effects of atmospheric variables on spectral vegetation indices derived from satellite based time series of multispectral images, IEEE Applied Imagery Pattern Recognition Workshop (AIPR), Washington, DC, USA, Oct. 2018, pp. 1-4. DOI: 10.1109/AIPR.2018.8707430
  21. G. Quaglia G., C. Visconte, P. Cavallone, Agri_q: Agriculture UGV for Monitoring and Drone Landing, Mechanism Design for Robotics, vol. 66, pp. 413-423, MEDER 2018 (Aug 2018). DOI: 10.1007/978-3-030-00365-4_49
  22. E. Fadda, L. Fotio Tiotsop, G. Perboli, R. Tadei, The Multi-Path Traveling Salesman Problem with Dependent Random Cost Oscillations, Proc. 7th Intl. Workshop on Freight Transportation and Logistics (Odysseus 2018), Cagliari, Italy, pp. 368-371.
  23. A. Khaliq, L. Peroni, M. Chiaberge, Land cover and crop classification using multitemporal SENTINEL-2 images based on crops phenological cycle, IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS), Salerno, Italy, Jun 2018, pp. 1-5. DOI: 10.1109/EESMS.2018.8405830
  24. M. Siekkinen, T. Kämäräinen, L. Favario; E. Masala, Can You See What I See? Quality of Experience Measurements of Mobile Live Video Broadcasting, ACM Transactions on Multimedia Computing, Communicatons and Applications, Volume 14 Issue 2s, May 2018, pp. 1-23, DOI: 10.1145/316527
  25. G. Quaglia, L. G. Butera, Experimental Results for QuBu Gripper: A 3-Jaw Electric Gripper, 2017 Advances in Service and Industrial Robotics, Series “Mechanisms and machine science”, ISSN 2211-0984, vol. 49, p.621-629 DOI: 10.1007/978-3-319-61276-8
  26. C. Ferraresi, G. Quaglia, Editors of “Advances in Service and Industrial Robotics“, Series “Mechanisms and machine science”, ISSN 2211-0984, vol. 49, 1047 pages, Springer
  27.  A. Khaliq, L. Comba, A. Biglia, D. Ricauda Aimonino, M. Chiaberge, P. Gay, “Comparison of Satellite and UAV-Based Multispectral Imagery for Vineyard Variability Assessment”. Remote Sensing, vol. 11, no. 4, 2019, pp. 436. DOI: 10.3390/rs11040436
  28.  Mazzia, Vittorio, Aleem Khaliq, and Marcello Chiaberge. “Improvement in Land Cover and Crop Classification based on Temporal Features Learning from Sentinel-2 Data Using Recurrent-Convolutional Neural Network (R-CNN).” Applied Sciences 10.1 (2020): 238.
  29.  M. Siekkinen, T. Kämäräinen, L. Favario; E. Masala, Can You See What I See? Quality of Experience Measurements of Mobile Live Video Broadcasting, ACM Transactions on Multimedia Computing, Communicatons and Applications, Volume 14 Issue 2s, May 2018, pp. 1-23, DOI: 10.1145/316527
  30.  Mazzia, Vittorio, Aleem Khaliq, Francesco Salvetti and Marcello Chiaberge “Real-Time Apple Detection System using Embedded Systems with Hardware Accelerators: an Edge AI Application”
  31.  Quaglia G., Cavallone P., Lenzo B.: On the dynamic analysis of a novel snake robot: preliminary results, The International Conference of IFToMM ITALY, pp. 275-285, 2018.DOI: 10.1007/978-3-030-03320-0_30
  32. Musci, M. A., Aicardi, I., Dabove, P., & Lingua, A. M. (2019). Reliability of the geometric calibration of an hyperspectral frame camera. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences.
  33. Irene Aicardi, Stefano Angeli, Rosario Milazzo, Andrea Lingua, Maria Angela Musci (2019, October). A Python customization of Metashape for quasi real time photogrammetry in precision agriculture application. R3 in GEOMATICS: Research, Results and Review. International Workshop in memory of Prof. Raffaele Santamaria.
  34. Angeli, S., Lingua, A. M., Maschio, P., Piantelli, L., Dugone, D., & Giorgis, M. (2018, June). Dense 3D Model Generation of a Dam Surface Using UAV for Visual Inspection. In International Conference
    on Robotics in Alpe-Adria Danube Region (pp. 151-162). Springer, Cham.
  35. Dabove, P., & Di Pietra, V. (2019). Single-baseline RTK positioning using dual-frequency GNSS receivers inside smartphones. Sensors, 19(19), 4302.
  36. D. Aghi, V. Mazzia, M. Chiaberge: “Autonomous Navigation in Vineyards with DeepLearning at the Edge”
  37. V. Mazzia, L. Comba, A. Khaliq, M. Chaberge, P. Gay: “UAV and Machine Learning Based Refinement of Satellite-Driven Vegetation Index for Precision Agriculture”
  38. D. Aghi, V. Mazzia, M. Chiaberge: “Local Motion Planner for Autonomous Navigationin Vineyards with RGB-D Camera Based Algorithmand Deep Learning Synergy
  39. F. Salvetti, V. Mazzia, M. Chiaberge: “Multi-image Super Resolution of Remotely Sensed Images usingResidual Feature Attention Deep Neural Networks”
  40. A. Boschi, E. Sutera, F. Salvetti, V. Mazzia, M. Chiaberge: “Low-Cost Person Following System for UnmannedVehicles with Deep Learning at the Edge”
  41. N. Gogoi, A. Minetto, and F. Dovis, “A proof-of-concept of Cooperative DGNSS for UAV/UGV navigation”, in International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2020), September 2020.
  42. M. A. Musci, P. Dabove: “New photogrammetric sensors for precision agriculture: the use of hyperspectral-spectral cameras”
  43. L. Fotio Tiotsop, A. Servetti, E. Masala, “Full Reference Video Quality Measures Improvement using Neural Networks”, Proc. ICASSP 2020
  44. L. Fotio Tiotsop, T. Mizdos, M. Uhrina, M. Barkowsky, P. Pocta, E. Masala, “Predicting Single Observer’s Votes from Objective Measures using Neural Networks”, Proc. Human Vision and Electronic Imaging (HVEI) conference, Burlingame (CA), USA, Jan 2020
  45. L. Fotio Tiotsop, A. Servetti, E. Masala, “Investigating Prediction Accuracy of Full Reference Objective Video Quality Measures through the ITS4S Dataset”, Proc. Human Vision and Electronic Imaging (HVEI) conference, Burlingame (CA), USA, Jan 2020
  46. M.A. Musci, L. Mazzara, A. Lingua, “Ice Detection on Aircraft Surface Using Machine Learning Approaches Based on Hyperspectral and Multispectral Images”
  47. M.A Musci, C. Persello, A. Lingua : “UAV images and Deep-Learning Algorithms for detecting Flavescence Doree Disease in grapevine orchards”
  48. A. Rustamov, N. Gogoi, A. Minetto, F. Dovis, “GNSS Anti-Spoofing Defense Based on Cooperative Positioning” in International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2020), September 2020.
  49. 1.A. Rustamov, N. Gogoi, A. Minetto, F. Dovis, “Assessment of the Vulnerability to Spoofing Attacks of GNSS Receivers Integrated in Consumer Devices”, in 2020 International Conference on Localization and GNSS (ICL-GNSS), IEEE 2020.
  50. V. Di Pietra, N. Grasso, M. Piras, and P.Dabove “Characterization of a Mobile Mapping System for Seamless Navigation”
  51. I. Aicardi, A. Lingua, L. Mazzara, M.A. Musci, and G. Rizzo “Ice Detection on Airplane Wings using a Photogrammetric Point Cloud: A Simulation”
  52. E. Sutera, V. Mazzia, F. Salvetti, G. Fantin, and M. Chiaberge “Indoor Point-to-Point Navigation with Deep Reinforcement Learning and Ultra-wideband”
  53. V. Mazzia, F. Salvetti, D. Aghi, M. Chiaberge “DeepWay: A Deep Learning waypoint estimator for global path generation”
  54. S, Angarano, V. Mazzia, F. Salvetti, G. Fantin, M. Chiaberge “Robust Ultra-wideband Range Error Mitigation with Deep Learning at the Edge”
  55. S. Cerrato, D. Aghi, V. Mazzia, F. Salvetti, M. Chiaberge “An Adaptive Row Crops Path Generator with Deep Learning Synergy”