Autonomous drones are facing a tough efficiency challenge due to limitations on the utilized processing hardware units. Among these limitations is the tradeoff between fast computing and low power consumption; between functional complexity and flight time. Recent progressions point to FPGAs for accelerating heavy processing. In this work, we present the MPSoC4Drones Framework; a novel framework for organizing FPGA-design and OS build projects. The framework combines tools for creating bootable images for the Ultra96-V2 board.We show how MPSoC4Drones organizes the build, combining the latest well-known tools for research and industrial drone development, Ubuntu 20.04, PX4 autopilot, and ROS2 middleware. We validate the framework through a computationally intensive deep learning use case implemented in the MPSoC4Drones framework. We show the superior throughput and low power consumption of FPGA processing compared to classical CPU and GPU approaches. Finally, we offer the full framework as open-source.
|Titel||2022 International Conference on Unmanned Aircraft Systems, ICUAS 2022|
|Status||Udgivet - 2022|
|Begivenhed||2022 International Conference on Unmanned Aircraft Systems, ICUAS 2022 - Dubrovnik, Kroatien|
Varighed: 21. jun. 2022 → 24. jun. 2022
|Konference||2022 International Conference on Unmanned Aircraft Systems, ICUAS 2022|
|Periode||21/06/2022 → 24/06/2022|
Bibliografisk noteFunding Information:
ACKNOWLEDGEMENTS This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 861111, Drones4Safety.
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 861111
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