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Automated Tuning of End-to-end Neural Flight Controllers for Autonomous Nano-drones.

, , , и . AICAS, стр. 1-4. IEEE, (2021)

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Daniele Soroldoni

Daniele Silvestro

Daniele Palmisano

Daniele Martini

Daniele Suzzi

 

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On the Accuracy of Near-Optimal CPU-Based Path Planning for UAVs., , и . SCOPES, стр. 85-88. ACM, (2017)Automated Tuning of End-to-end Neural Flight Controllers for Autonomous Nano-drones., , , и . AICAS, стр. 1-4. IEEE, (2021)GPU-Accelerated Real-Time Path Planning and the Predictable Execution Model., , , и . ICCS, том 108 из Procedia Computer Science, стр. 2428-2432. Elsevier, (2017)Secure Deep Learning-based Distributed Intelligence on Pocket-sized Drones., , и . EWSN, стр. 409-414. ACM, (2023)Vision-state Fusion: Improving Deep Neural Networks for Autonomous Robotics., , , , и . J. Intell. Robotic Syst., 110 (2): 58 (июня 2024)Training on the Fly: On-device Self-supervised Learning aboard Nano-drones within 20 mW., , и . CoRR, (2024)Bio-inspired Autonomous Exploration Policies with CNN-based Object Detection on Nano-drones., , , , , и . DATE, стр. 1-6. IEEE, (2023)Shaheen: An Open, Secure, and Scalable RV64 SoC for Autonomous Nano-UAVs., , , , , , , , , и 8 other автор(ы). HCS, стр. 1-12. IEEE, (2023)High-throughput Visual Nano-drone to Nano-drone Relative Localization using Onboard Fully Convolutional Networks., , и . ICRA, стр. 5345-5351. IEEE, (2024)Sim-to-Real Vision-Depth Fusion CNNs for Robust Pose Estimation Aboard Autonomous Nano-quadcopters., , , и . IROS, стр. 7711-7717. (2023)