动态火灾与烟雾条件下无人机的最优野火逃生路线规划
Optimal Wildfire Escape Route Planning for Drones under Dynamic Fire and Smoke
AI总结：
本文融合无人机与卫星信息、遥感道路评估、实时视觉道路网络提取及动态火烟蔓延模型，提出基于改进 A* 算法的无人机野火最优逃生路线规划系统。
摘要：
近年来，野火发生频率和强度的不断增加给应急响应队伍带来了重大挑战。利用无人驾驶飞行器（UAV，通常称为无人机）在辅助野火管理工作方面已展现出前景。本工作聚焦于开发一种专为无人机设计、考虑动态火灾与烟雾模型的最优野火逃生路线规划系统。首先，通过无人机与卫星之间的信息融合，可以很好地定位野火火源的位置，并利用多通道遥感数据对火灾附近的道路状况进行评估和分析。其次，可利用无人机视觉技术实时提取和分割道路网络，并根据道路状况分类结果为道路网络图中的每条道路赋予优先级。第三，动态火灾蔓延模型根据火灾强度、风速和风向计算火源的新位置，并且随着野火蔓延，半径随之增大。火源周围会生成烟雾，以形成燃烧火灾的可视化表示。最后，基于考虑上述所有因素的改进型 A* 算法，无人机能够根据起点和终点位置快速规划一条逃生路线，避开火源位置及其蔓延区域。通过考虑动态火灾和烟雾模型，所提出的系统提升了无人机在野火环境中执行任务的安全性和效率。
英文摘要：
In recent years, the increasing prevalence and intensity of wildfires have posed significant challenges to emergency response teams. The utilization of unmanned aerial vehicles (UAVs), commonly known as drones, has shown promise in aiding wildfire management efforts. This work focuses on the development of an optimal wildfire escape route planning system specifically designed for drones, considering dynamic fire and smoke models. First, the location of the source of the wildfire can be well located by information fusion between UAV and satellite, and the road conditions in the vicinity of the fire can be assessed and analyzed using multi-channel remote sensing data. Second, the road network can be extracted and segmented in real time using UAV vision technology, and each road in the road network map can be given priority based on the results of road condition classification. Third, the spread model of dynamic fires calculates the new location of the fire source based on the fire intensity, wind speed and direction, and the radius increases as the wildfire spreads. Smoke is generated around the fire source to create a visual representation of a burning fire. Finally, based on the improved A* algorithm, which considers all the above factors, the UAV can quickly plan an escape route based on the starting and destination locations that avoid the location of the fire source and the area where it is spreading. By considering dynamic fire and smoke models, the proposed system enhances the safety and efficiency of drone operations in wildfire environments.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
