基于速度障碍的无人机多智能体避碰策略

Alexandre Lombard, Lilian Durand, Stéphane Galland
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引用次数: 4

摘要

近年来,无人驾驶飞行器(uav)在民用应用的几个领域引起了人们的极大兴趣。随着未来几年操作无人机的数量预计将迅速增加,需要开发有效的防撞解决方案。为了确保避碰解决方案的适用性,考虑到无人机的局限性,它们必须依赖于可靠的信息源,并且必须具有计算效率。本文旨在提供一种基于其他无人机传输信息的速度障碍避碰方法的实现。利用仿真软件AirSim和多智能体平台SARL进行了基于多智能体的仿真,以评估所提方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Velocity Obstacle Based Strategy for Multi-agent Collision Avoidance of Unmanned Aerial Vehicles
Unmanned Aerials Vehicles (UAVs), most known as drones, recently gained a lot of interest in several domains of civil applications. With the number of operating drones expected to quickly rise in the next few years comes the need to develop efficient collision avoidance solutions. To ensure the applicability of the collision avoidance solutions, given the limitations of UAVs, they must rely on a reliable source of information, and must be computationally efficient. This paper aims at providing an implementation of the Velocity Obstacle collision avoidance method, based on the information transmitted by the other UAVs. Multi-agent based simulations using the simulation software AirSim and the multi-agent platform SARL are proposed to assess the validity of the proposed solution.
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