Lamberti, Lorenzo; Cereda, Elia; Abbate, Gabriele; Bellone, Lorenzo; Morinigo, Victor Javier Kartsch; Barciś, Michał; Barciś, Agata; Giusti, Alessandro; Conti, Francesco; Palossi, Daniele, A Sim-to-Real Deep Learning-based Framework for Autonomous Nano-drone Racing, «IEEE ROBOTICS AND AUTOMATION LETTERS», 2024, Early Access, pp. 1 - 8 [Scientific article]
Lamberti, Lorenzo; Bompani, Luca; Kartsch, Victor Javier; Rusci, Manuele; Palossi, Daniele; Benini, Luca, Bio-inspired Autonomous Exploration Policies with CNN-based Object Detection on Nano-drones, in: 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2023, pp. 1 - 6 (atti di: 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), Antwerp, Belgium, Apr 17, 2023 – Apr 19, 2023) [Contribution to conference proceedings]
Pourjabar, Mahyar; Rusci, Manuele; Bompani, Luca; Lamberti, Lorenzo; Niculescu, Vlad; Palossi, Daniele; Benini, Luca, Multi-sensory Anti-collision Design for Autonomous Nano-swarm Exploration, in: IEEE International Conference on Electronics, Circuits and Systems (ICECS), Istanbul, Turkiye, IEEE, 2023, pp. 1 - 5 (atti di: 2023 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Istanbul, Turkiye, 04-07 December 2023) [Contribution to conference proceedings]
Risso, Matteo; Burrello, Alessio; Conti, Francesco; Lamberti, Lorenzo; Chen, Yukai; Benini, Luca; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele, Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge, «IEEE TRANSACTIONS ON COMPUTERS», 2022, 0, pp. 744 - 758 [Scientific article]Open Access
Thorir Mar Ingolfsson; Mark Vero; Xiaying Wang; Lorenzo Lamberti; Luca Benini; Matteo Spallanzani, Reducing neural architecture search spaces with training-free statistics and computational graph clustering, in: CF '22: Proceedings of the 19th ACM International Conference on Computing Frontiers, 2022, pp. 213 - 214 (atti di: 19th ACM International Conference on Computing Frontiers, Turin Italy, May 17 - 22, 2022) [Contribution to conference proceedings]
Lamberti, L; Niculescu, V; Barcis, M; Bellone, L; Natalizio, E; Benini, L; Palossi, D, Tiny-PULP-Dronets: Squeezing Neural Networks for Faster and Lighter Inference on Multi-Tasking Autonomous Nano-Drones, in: 2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, 2022, pp. 287 - 290 (atti di: 2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS), Incheon, Seoul, June 13-15 2022) [Contribution to conference proceedings]
Niculescu V.; Lamberti L.; Palossi D.; Benini L., Automated Tuning of End-to-end Neural Flight Controllers for Autonomous Nano-drones, in: 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems, AICAS 2021, 345 E 47TH ST, NEW YORK, NY 10017 USA, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 1 - 4 (atti di: 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2021, usa, 2021) [Contribution to conference proceedings]
Niculescu V.; Lamberti L.; Conti F.; Benini L.; Palossi D., Improving Autonomous Nano-Drones Performance via Automated End-to-End Optimization and Deployment of DNNs, «IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS», 2021, 11, pp. 548 - 562 [Scientific article]Open Access
Lamberti, Lorenzo; Rusci, Manuele; Fariselli, Marco; Paci, Francesco; Benini, Luca, Low-Power License Plate Detection and Recognition on a RISC-V Multi-Core MCU-Based Vision System, in: Proceedings - IEEE International Symposium on Circuits and Systems, 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, «IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS PROCEEDINGS», 2021, pp. 1 - 5 (atti di: IEEE International Symposium on Circuits and Systems, ISCAS 2021, Daegu, Korea, 22-28 May 2021) [Contribution to conference proceedings]
Risso M.; Burrello A.; Pagliari D.J.; Conti F.; Lamberti L.; MacIi E.; Benini L.; Poncino M., Pruning in Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks, in: Proceedings - Design Automation Conference, Piscatawey (NJ), Institute of Electrical and Electronics Engineers Inc., 2021, 2021, pp. 1015 - 1020 (atti di: 58th ACM/IEEE Design Automation Conference, DAC 2021, San Francisco, CA, 2021) [Contribution to conference proceedings]Open Access
