Quantifying the design-space tradeoffs in autonomous drones
Published in Proceedings of the 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021
Citation: Ramyad Hadidi, Bahar Asgari, Sam Jijina, Adriana Amyette, Nima Shoghi, Hyesoon Kim, Proceedings of the 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021. https://doi.org/10.1145/3445814.3446721
Examines the inherent design complexities in autonomous drones—especially the trade-offs between compute, energy, and electromechanical resources—and proposes a systematic exploration of the drone design space. The study emphasizes the benefits of optimizing the SLAM process on FPGA platforms and introduces a customizable, open-source drone.