Understanding the software and hardware stacks of a general-purpose cognitive drone

Published in 2020 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 2020

Citation: Sam Jijina, Adriana Amyette, Nima Shoghi, Ramyad Hadidi, Hyesoon Kim, 2020 IEEE International Symposium on Performance Analysis of Systems and …, 2020 https://ieeexplore.ieee.org/abstract/document/9238616/

This paper presents an in-depth analysis of the hardware and software components of autonomous drones, with a focus on the widely-used open source flight stack, ArduCopter. The authors characterize the performance requirements and study how area-specific applications affect the flight stack, providing insights that can help optimize the underlying flight controller and dramatically increase the flying range of drones.

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