一句话：提出 DroneWiS，利用 CFD 模拟真实风场，实现 sUAS 在复杂风况下的自动仿真测试。
小型无人航空系统（sUAS）的安全可靠运行需要先进的测试方法。现有 Gazebo、AirSim 等仿真工具只能模拟基本风况，无法体现风与建筑物、不平地形等环境物体相互作用产生的真实风场。本文提出 DRV 2.0 中的新组件 DroneWiS，它在 DroneReqValidator（DRV）平台基础上支持自动仿真真实风况，并测试 sUAS 对风的鲁棒性。DroneWiS 利用计算流体力学（CFD）计算环境中由物体影响形成的独特风流，为开发者提供 sUAS 在具有挑战性的真实风况下导航能力的深入洞察，帮助他们测试、调试并提升 sUAS 的安全性和可靠性。作者通过可运行演示展示了该工具的能力。
The continuous evolution of small Unmanned Aerial Systems (sUAS) demands advanced testing methodologies to ensure their safe and reliable operations in the real-world. To push the boundaries of sUAS simulation testing in realistic environments, we previously developed the DroneReqValidator (DRV) platform [11], allowing developers to automatically conduct simulation testing in digital twin of earth. In this paper, we present DRV 2.0, which introduces a novel component called DroneWiS (Drone Wind Simulation). DroneWiS allows sUAS developers to automatically simulate realistic windy conditions and test the resilience of sUAS against wind. Unlike current state-of-the-art simulation tools such as Gazebo and AirSim that only simulate basic wind conditions, DroneWiS leverages Computational Fluid Dynamics (CFD) to compute the unique wind flows caused by the interaction of wind with the objects in the environment such as buildings and uneven terrains. This simulation capability provides deeper insights to developers about the navigation capability of sUAS in challenging and realistic windy conditions. DroneWiS equips sUAS developers with a powerful tool to test, debug, and improve the reliability and safety of sUAS in real-world. A working demonstration is available at https://youtu.be/khBHEBST8Wc.
DOI 原文 ·
@inproceedings{paperbot8311,
title = {DroneWiS: Automated Simulation Testing of small Unmanned Aerial System in Realistic Windy Conditions},
author = {Bohan Zhang and Ankit Agrawal},
booktitle = {ASE},
year = {2024},
doi = {10.1145/3691620.3695351}
}