We present a bottleneck analysis tool for designing compute systems for autonomous Unmanned Aerial Vehicles (UAV). The tool provides insights by exploiting the fundamental relationships between various components in the autonomous UAV such as sensor, compute, body dynamics. To guarantee safe operation while maximizing the performance (e.g., velocity) of the UAV, the compute, sensor, and other mechanical properties must be carefully designed (or selected). The goal of our proposed tool is to provide a visual model which aids system architects to understand optimal compute design (or selection) for autonomous UAVs. The tool is available here: https://bit.ly/skyline-tool
@article{arxiv.2111.03792,
title = {Roofline Model for UAVs:A Bottleneck Analysis Tool for Designing Compute Systems for Autonomous Drones},
author = {Srivatsan Krishnan and Zishen Wan and Kshitij Bhardwaj and Aleksandra Faust and Vijay Janapa Reddi},
journal= {arXiv preprint arXiv:2111.03792},
year = {2022}
}
Comments
The latest and updated version with conference is available here: arXiv:2204.10898