Roofline Model for UAVs:A Bottleneck Analysis Tool for Designing Compute Systems for Autonomous Drones
This provides a practical tool for system architects in the domain of autonomous UAVs, though it appears incremental as it adapts existing roofline model concepts to this specific application.
The paper tackles the problem of designing compute systems for autonomous drones by introducing a bottleneck analysis tool that visualizes optimal compute design, aiming to guarantee safe operation while maximizing performance such as velocity.
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