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Cognitive integration of aerial and ground views in remote vehicle operations

机译:远程车辆操作中空中和地面视图的认知整合

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Both unmanned air vehicles (UAVs) and unmanned ground vehicles (UGVs) are being used in increasingly complex roles as this technology matures. There are many proposals for the joint use of UAVs and UGVs working together to achieve mission goals. Due to the spatial perception difficulties commonly reported in UGV operations, it has been postulated that the operation of UGVs could benefit from the use of live aerial views in scenarios where this is possible. In a series of experimental studies we examine the cognitive task of integrating air and ground views. Integrating these views is a key cognitive task component in UGV operations which usually require that maps for navigation be integrated with imagery from ground view cameras. Whether aerial views are used or not, integration with map views is crucial. In this paper we discuss a series of experimental studies relevant to the cognitive integration of air and ground views in UGV scenarios. The integration of map and ground camera views may be facilitated by the use of live aerial views. In urban search scenarios the addition of an aerial view to a UGV operator's task does not appear to have any measurable negative consequences and improves localization performance.
机译:随着该技术的成熟,无人飞行器(UAV)和无人地面飞行器(UGV)的角色越来越复杂。关于联合使用无人机和无人飞行器以达成任务目标的建议很多。由于在无人飞行器操作中普遍报告了空间感知上的困难,因此推测,在可能的情况下,无人飞行器的操作可受益于实时鸟瞰图的使用。在一系列实验研究中,我们研究了整合空中和地面视野的认知任务。集成这些视图是UGV操作中的关键认知任务组件,通常需要将导航地图与地面摄像头的图像集成在一起。无论是否使用鸟瞰图,与地图视图集成都是至关重要的。在本文中,我们讨论了与UGV场景中空中和地面视图的认知整合有关的一系列实验研究。通过使用实时鸟瞰图可以促进地图和地面摄像机视图的集成。在城市搜索场景中,向UGV操作员的任务添加鸟瞰图似乎不会带来任何可衡量的负面影响,并且可以提高定位性能。

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