发表机构
School of Science and Technology, Hong Kong Metropolitan University; The School of Cybersecurity, Northwestern Polytechnical University（香港都会大学理学院; 西北工业大学网络空间安全学院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出一种整合移动信息采集等功能的用户触发型无人机调度系统，经模拟、本地软件测试及户外试验验证，可实现山地搜救的精准及时无人机调度，为搜救提供视觉线索。
AI 中文摘要
徒步旅行者携带的智能手机会常规记录路线、位置及求助请求，这些记录可为山地搜救提供精准线索，但很少能直接且及时地转化为支持搜救的无人机（UAV）任务。本文提出一种用户触发型无人机调度系统，将移动信息采集、地面站任务管理与无人机搜救整合为单一工作流。在该系统中，一款移动应用被设计用于持续追踪用户记录并将其同步至云数据库，从而启动所有后续搜救事件及无人机调度任务；一款控制平台被开发用于从云数据库检索记录，供操作员验证与任务调度；一款无人机原型被实现用于执行已批准任务、遵循航路点、报告状态、在可用时中继手机记录，并记录面向下方的视频以供后续检查。针对无人机调度任务开展了模拟，采用离地高度80米的地形跟随飞行高度，模拟结果验证了成功生成航线、按序遍历航路点及无人机返回发射场着陆的调度效果；本地软件测试验证了1秒阈值的超时检测，以及手机记录从移动应用经无人机传输至地面站的功能；户外试验表明，该无人机可自主飞行并采集面向下方的图像，其中人员、附近小径及周边植被清晰可辨，为操作员评估及进一步检查搜救区域提供了视觉线索。
英文摘要
Smartphones carried by hikers routinely record routes, locations, and requests for assistance, and these records can provide precise clues for mountain search. However, they are rarely transformed in a direct and timely way into unmanned aerial vehicle (UAV) missions that support search and rescue. This paper presents a user-triggered UAV dispatching system that integrates mobile information collection, ground station mission management, and UAV search into a single workflow. In our system, a mobile application is designed to continuously track user records and synchronize these records to the cloud database, thereby initiating all subsequent search events and UAV-dispatch missions. A control platform is developed to retrieve records from the cloud database for operator verification and mission scheduling. A UAV prototype is implemented to execute the approved mission, follow waypoints, report status, relay phone records when available, and record downward-facing video for later inspection. Simulations are conducted for UAV-dispatching missions using a terrain-following flight altitude of $80$~m above ground level and demonstrate successful route generation, ordered waypoint traversal, and return to the launch site for landing of the UAV dispatching. Local software tests verified timeout detection with a 1s threshold and phone-record transfer from the mobile application through the UAV to the ground station. Outdoor trials showed that the UAV could fly autonomously and capture downward-facing imagery in which a person, a nearby footpath, and surrounding vegetation were clearly discernible, providing visual cues for operator assessment and further inspection of the search area.
CommentsAccepted by MetaCom 2026 (workshop-TNI-Meta). Ref: metacomm.org/2026/workshop-TNI-Meta.php
