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首页> 外文会议>Annual Conference on System of Systems Engineering >A Low-Cost Search-and-Rescue Drone for Near Real-Time Detection of Missing Persons
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A Low-Cost Search-and-Rescue Drone for Near Real-Time Detection of Missing Persons

机译：一种低成本的搜救无人机，用于近实时失踪人员检测

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In this work, an unmanned aerial system is implemented to search an outdoor area for an injured or missing person (subject) without requiring a connection to a ground operator or control station. The system detects subjects using exclusively on-board hardware as it traverses a predefined search path, with each implementation envisioned as a single element of a larger swarm of identical search drones. Imagery is streamed from a camera to an Odroid single-board computer, which prepares the data for inference by a Neural Compute Stick vision accelerator. A single-class TinyYolo network, trained on the Okutama-Action dataset and an original Albatross dataset, is utilized to detect subjects in the prepared frames. The detection apparatus is mounted on a drone and field tests validate the system feasibility and efficacy.
机译：在这项工作中，实施了无人驾驶航空系统，以在室外区域搜索受伤或失踪的人（对象），而无需连接到地面操作员或控制站。该系统通过预定的搜索路径时，将仅使用机载硬件来检测主题，每种实现方式均设想为相同搜索无人机的较大群中的单个元素。图像从相机流式传输到Odroid单板计算机，该计算机准备数据以通过Neural Compute Stick视觉加速器进行推理。在Okutama-Action数据集和原始Albatross数据集上训练的单类TinyYolo网络用于检测准备好的帧中的对象。该检测装置安装在无人机上，现场测试验证了该系统的可行性和有效性。

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