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Self-Sustainability in Nano Unmanned Aerial Vehicles: A Blimp Case Study.

, , , , , and . Conf. Computing Frontiers, page 79-88. ACM, (2017)

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On the Accuracy of Near-Optimal CPU-Based Path Planning for UAVs., , and . SCOPES, page 85-88. ACM, (2017)Automated Tuning of End-to-end Neural Flight Controllers for Autonomous Nano-drones., , , and . AICAS, page 1-4. IEEE, (2021)GPU-Accelerated Real-Time Path Planning and the Predictable Execution Model., , , and . ICCS, volume 108 of Procedia Computer Science, page 2428-2432. Elsevier, (2017)Fünfiiber-Drone: A Modular Open-Platform 18-grams Autonomous Nano-Drone., , , , and . DATE, page 1610-1615. IEEE, (2021)Extending the Lifetime of Nano-Blimps via Dynamic Motor Control., , , , , and . J. Signal Process. Syst., 91 (3-4): 339-361 (2019)Tiny-PULP-Dronets: Squeezing Neural Networks for Faster and Lighter Inference on Multi-Tasking Autonomous Nano-Drones., , , , , , and . AICAS, page 287-290. IEEE, (2022)Multi-resolution Rescored ByteTrack for Video Object Detection on Ultra-low-power Embedded Systems., , , , and . CoRR, (2024)Distilling Tiny and Ultra-fast Deep Neural Networks for Autonomous Navigation on Nano-UAVs., , , , , , and . CoRR, (2024)To Checkpoint or Not to Checkpoint: That is the Question., , and . EWSN, page 124-131. ACM, (2023)Cyber Security aboard Micro Aerial Vehicles: An OpenTitan-based Visual Communication Use Case., , , , , , , , and . ISCAS, page 1-5. IEEE, (2023)