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A Language for UAV Traffic Rules in an Urban Environment and Decentralized Scenario

机译:城市环境和分散场景下的无人机交通规则语言

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Unmanned Aerial Vehicles (UAVs) are becoming increasingly popular and the amount of UAV traffic in urban environments will largely increase in the future, due to profitable tasks which are particularly suited to UAVs, e.g., parcel delivery and surveillance, in particular in the context of smart cities. Trying to ensure the traffic safety and efficiency by acting on the UAV controller alone might be challenging, since the set of involved players (regulators, manufacturers, business users) is large and diversified. In this work, we address this problem by proposing a language for defining rules suitable for UAV traffic which can be enforced in a decentralized way by the UAVs themselves, without any need for communication and regardless of the UAV navigation algorithm. The language allows to express realistic rules, such as ``when cruising, keep a minimum altitude'', concisely and such that they can be processed online by each single UAV basing on its perception of the nearby environment. We experimentally validate the ability of our proposal to impact on the UAV traffic efficiency and safety by performing a large number of simulations with and without a set of realistic rules.
机译:由于特别适合无人机的有利可图的任务,例如包裹的交付和监视,无人驾驶飞机(UAV)越来越受欢迎,城市环境中的无人机运输量在未来将大大增加。智慧城市。由于所涉及的参与者(监管者,制造商,商业用户)的规模庞大且种类繁多,因此仅通过对无人机控制器进行操作来确保交通安全和效率就可能具有挑战性。在这项工作中,我们通过提出一种语言来定义适用于UAV流量的规则来解决这个问题,该规则可以由UAV自己以分散的方式执行,而无需任何通信,并且与UAV导航算法无关。该语言允许简洁地表达现实的规则,例如``巡航时保持最低高度'',以便每个无人机可以根据对附近环境的感知在线对其进行处理。我们通过在有和没有一组现实规则的情况下进行大量模拟,实验性地验证了我们的建议对无人机交通效率和安全性产生影响的能力。

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