| A systematic assessment of embedded neural networks for object detection M Verucchi, G Brilli, D Sapienza, M Verasani, M Arena, F Gatti, ... 2020 25th IEEE International Conference on Emerging Technologies and Factory …, 2020 | 51 | 2020 |
| Latency-aware generation of single-rate DAGs from multi-rate task sets M Verucchi, M Theile, M Caccamo, M Bertogna 2020 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS …, 2020 | 42 | 2020 |
| Real-Time clustering and LiDAR-camera fusion on embedded platforms for self-driving cars M Verucchi, L Bartoli, F Bagni, F Gatti, P Burgio, M Bertogna 2020 Fourth IEEE International Conference on Robotic Computing (IRC), 398-405, 2020 | 38 | 2020 |
| Motion planning and control for multi vehicle autonomous racing at high speeds A Raji, A Liniger, A Giove, A Toschi, N Musiu, D Morra, M Verucchi, ... 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 26 | 2022 |
| Risk ranked recall: Collision safety metric for object detection systems in autonomous vehicles A Bansal, J Singh, M Verucchi, M Caccamo, L Sha 2021 10th Mediterranean Conference on Embedded Computing (MECO), 1-4, 2021 | 25 | 2021 |
| A novel real-time edge-cloud big data management and analytics framework for smart cities R Cavicchioli, R Martoglia, M Verucchi Journal of Universal Computer Science 28 (1), 3-26, 2022 | 8 | 2022 |
| All you can embed: Natural language based vehicle retrieval with spatio-temporal transformers C Scribano, D Sapienza, G Franchini, M Verucchi, M Bertogna Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 5 | 2021 |
| Mise en abyme with artificial intelligence: how to predict the accuracy of NN, applied to hyper-parameter tuning G Franchini, M Galinier, M Verucchi Recent Advances in Big Data and Deep Learning: Proceedings of the INNS Big …, 2020 | 4 | 2020 |
| A comprehensive analysis of DAG tasks: solutions for modern real-time embedded systems M Verucchi, M BERTOGNA Doctoral Dissertation, University of Modena and Reggio Emilia, Italy, 2020 | 4 | 2020 |
| er. autopilot 1.0: The full autonomous stack for oval racing at high speeds A Raji, D Caporale, F Gatti, A Giove, M Verucchi, D Malatesta, N Musiu, ... arXiv preprint arXiv:2310.18112, 2023 | 3 | 2023 |
| A benchmark analysis of data‐driven and geometric approaches for robot ego‐motion estimation M Legittimo, S Felicioni, F Bagni, A Tagliavini, A Dionigi, F Gatti, ... Journal of Field Robotics 40 (3), 626-654, 2023 | 2 | 2023 |
| Real-Time Heterogeneous Platforms P Burgio, R Cavicchioli, M Verucchi Heterogeneous Computing Architectures, 233-259, 2019 | 2 | 2019 |
| A survey on real-time DAG scheduling, revisiting the Global-Partitioned Infinity War M Verucchi, IS Olmedo, M Bertogna Real-Time Systems 59 (3), 479-530, 2023 | 1 | 2023 |
| Uncovering the Background-Induced bias in RGB based 6-DoF Object Pose Estimation E Govi, D Sapienza, C Scribano, T Poppi, G Franchini, P Ardòn, ... arXiv preprint arXiv:2304.08230, 2023 | 1 | 2023 |
| Biomedical Image Classification via Dynamically Early Stopped Artificial Neural Network G Franchini, M Verucchi, A Catozzi, F Porta, M Prato Algorithms 15 (10), 386, 2022 | 1 | 2022 |
| Model-Based Underwater 6D Pose Estimation from RGB D Sapienza, E Govi, S Aldhaheri, M Bertogna, E Roura, È Pairet, ... IEEE Robotics and Automation Letters, 2023 | | 2023 |
| Analisi esaustiva di DAG task: soluzioni per moderni sistemi real-time embedded M Verucchi Università degli studi di Modena e Reggio Emilia, 2021 | | 2021 |
| 233 Real-Time Heterogeneous Platforms P Burgio, R Cavicchioli, M Verucchi i Heterogeneous Computing Architectures: Challenges and Vision, 233-259, 2019 | | 2019 |
| Cognitive Computing Solution per inferenze automatiche in collezioni di documenti M VERUCCHI | | 2017 |
