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* *An Open Source and Open Hardware Deep Learning-powered Visual Navigation Engine for Autonomous Nano-UAVs* [arXiv preprint](https://arxiv.org/abs/1905.04166) -- [IEEE DCOSS](https://ieeexplore.ieee.org/document/8804776)
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* *Automated Tuning of End-to-end Neural FlightControllers for Autonomous Nano-drones* [IEEE AICAS](https://ieeexplore.ieee.org/document/9458550)
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* *Improving Autonomous Nano-Drones Performance via Automated End-to-End Optimization and Deployment of DNNs* -- [IEEE JETCAS](https://ieeexplore.ieee.org/document/9606685)
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* *Tiny-PULP-Dronets: Squeezing Neural Networks for Faster and Lighter Inference on Multi-Tasking Autonomous Nano-Drones* -- [IEEE AICAS](https://ieeexplore.ieee.org/document/9869931)
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doi={10.1109/JETCAS.2021.3126259}}
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@INPROCEEDINGS{lamberti_tinydronet,
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author={Lamberti, Lorenzo and Niculescu, Vlad and Barciś, Michał and Bellone, Lorenzo and Natalizio, Enrico and Benini, Luca and Palossi, Daniele},
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booktitle={2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS)},
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title={Tiny-PULP-Dronets: Squeezing Neural Networks for Faster and Lighter Inference on Multi-Tasking Autonomous Nano-Drones},
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year={2022},
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volume={},
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number={},
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pages={287-290},
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doi={10.1109/AICAS54282.2022.9869931}}
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~~~~
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## 1. Introduction

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