Spezialetti, Riccardo; Salti, Samuele; Stefano, Luigi Di, Learning an Effective Equivariant 3D Descriptor Without Supervision, in: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, pp. 6400 - 6409 (atti di: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, South Korea, 27 Oct.-2 Nov. 2019) [Contribution to conference proceedings]
Spezialetti Riccardo; Salti Samuele; Di Stefano Luigi, Performance evaluation of learned 3D features, in: Image Analysis and Processing – ICIAP 2019, Springer Verlag, 2019, 11751, pp. 519 - 531 (atti di: 20th International Conference on Image Analysis and Processing, ICIAP 2019, Trento, Italia, 2019) [Contribution to conference proceedings]
Patent n. US10699137B2, Automatic collection and classification of harsh driving events in dashcam videos.
Taccari, Leonardo; Sambo, Francesco; Bravi, Luca; Salti, Samuele; Sarti, Leonardo; Simoncini, Matteo; Lori, Alessandro, Classification of Crash and Near-Crash Events from Dashcam Videos and Telematics, in: IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, IEEE, 2018, 2018-, pp. 2460 - 2465 (atti di: 21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018, Maui, HI, USA, 2018) [Contribution to conference proceedings]
Patent n. US10839683B2, Identifying wrong-way travel events.
Patent n. US10417909, Identifying wrong-way travel events.
Tonioni, Alessio; Salti, Samuele; Tombari, Federico; Spezialetti, Riccardo; Luigi Di, Stefano, Learning to Detect Good 3D Keypoints, «INTERNATIONAL JOURNAL OF COMPUTER VISION», 2018, 126, pp. 1 - 20 [Scientific article]
Patent n. US10847036B2, Stop purpose classification for vehicle fleets.
Simoncini, Matteo; Taccari, Leonardo*; Sambo, Francesco; Bravi, Luca; Salti, Samuele; Lori, Alessandro, Vehicle classification from low-frequency GPS data with recurrent neural networks, «TRANSPORTATION RESEARCH. PART C, EMERGING TECHNOLOGIES», 2018, 91, pp. 176 - 191 [Scientific article]Open Access
Patent n. US10345449, Vehicle classification using a recurrent neural network (RNN).
Sambo, F; Salti, S; Bravi, L; Simoncini, M; Taccari, L; Lori, A, Integration of GPS and Satellite Images for Detection and Classification of Fleet Hotspots, in: PROCEEDINGS OF THE IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, 2017, pp. 1 - 6 (atti di: IEEE International Conference on Intelligent Transportation Systems, Yokohama, Japan, 16-19/10/2017) [Contribution to conference proceedings]
Sarti, Leonardo; Bravi, Luca; Sambo, Francesco; Taccari, Leonardo; Simoncini, Matteo; Salti, Samuele; Lori, Alessandro, Stop Purpose Classification from GPS Data of Commercial Vehicle Fleets, in: IEEE International Conference on Data Mining Workshops, ICDMW, 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE Computer Society, 2017, 2017, pp. 280 - 287 (atti di: 17th IEEE International Conference on Data Mining Workshops, ICDMW 2017, New Orleans, LA, USA, 2017) [Contribution to conference proceedings]
Patent n. US 2021/0166064 A1, System and method for detecting and classifying recurrent stops of a vehicle fleet.
Tombari, Federico; Salti, Samuele; Puglia, Luca; Raiconi, Giancarlo; Di Stefano, Luigi, A radial search method for fast nearest neighbor search on range images, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Verlag, «LECTURE NOTES IN COMPUTER SCIENCE», 2016, 9915, pp. 563 - 577 (atti di: 14th European Conference on Computer Vision, ECCV 2016, nld, 2016) [Contribution to conference proceedings]
Patent n. US10852152B2, System and method for deriving operation information of a fleet and analyzing the same.
