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 Software (ISPASS), 2020. https://doi.org/10.1109/ISPASS48437.2020.00036
Characterizes a widely-used open source flight stack to understand the performance requirements of autonomous drones, revealing that optimizing the flight controller software can dramatically increase the drone's flying range.