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AUTONOMOUS TRACKING USING COLLABORATING AUTONOMOUS VEHICLES IN A COMPLEX ENVIRONMENT

机译:在复杂环境中使用协同自治车辆的自主跟踪

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The Airborne Vehicle Autonomous Targeting (AVATar) system is a fully autonomous, multi-vehicle airborne tracking and targeting system designed to rapidly supply actionable intelligence to operators for a variety of missions – from military laser targeting to wildlife management to first responder situational awareness. Multiple unmanned air system (UAS) vehicles collaborate to most efficiently pursue and track multiple targets with no human-in-the-loop for vehicle or camera control. These AVATar trackers form ad hoc coalitions that communicate over asynchronous, delay-tolerant communication networks, improving system response, adaptability, and robustness over traditional centralized systems. For these missions, each UAS optimizes its position relative to the target. In the case of multiple trackers and multiple targets, the multiple UASs communicate and collaborate to optimize spatial allocation and deconflict target assignments. All UAS operations are autonomous, including the tracking, targeting, video capture, and multi-UAS cooperation. Operators receive image feeds and target location information, and, if necessary, can retask the UASs.
机译:机载车辆自主靶向(阿凡达)系统是一个完全自主,多车辆的空机跟踪和瞄准系统,旨在迅速为各种任务提供可操作的智能,从军事激光瞄准野生动物管理到首次响应者情境意识。多种无人驾驶系统(UAS)车辆与最有效地追求和跟踪多个目标,没有用于车辆或摄像机控制的人载。这些化身跟踪器形成了ad hoc联盟,通过异步,延迟宽容通信网络,提高了传统集中系统的系统响应,适应性和鲁棒性传播。对于这些任务,每个UA可以优化其相对于目标的位置。在多个跟踪器和多个目标的情况下,多个uass通信并协作以优化空间分配和解构目标分配。所有UAS操作都是自主,包括跟踪,定位,视频捕获和多UA合作。操作员接收图像馈送和目标位置信息,如有必要,可以将uass固定。

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