Dynamic Exhaustive Mobile Target Search Using Unmanned Aerial Vehicles

Brown Douglas; Sun Liang

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Dynamic Exhaustive Mobile Target Search Using Unmanned Aerial Vehicles

机译：使用无人驾驶飞行器的动态详尽移动目标搜索

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This paper presents a novel dynamic progressively spiral-out (PSO) formation for a team of unmanned aerial vehicles (UAVs) to perform an exhaustive search of mobile ground targets. Two novel procedures are designed for a UAV to be inserted to and removed from an established PSO formation without discontinuing the confidence area. A comparison study in simulation was conducted using both randomly moving and smart avoidance targets. The results show the effectiveness of the proposed approaches.

机译：本文提出了一种新的动态逐步螺旋 - 拔出（PSO）形成，为无人驾驶飞行器（无人机）的团队进行，以便对移动地面目标进行详尽的搜索。设计了两种新颖的程序，用于将无人机插入并从已建立的PSO形成中取出，而不会停止置信区域。使用随机移动和智能避免目标进行仿真的比较研究。结果表明了拟议方法的有效性。

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来源
《IEEE Transactions on Aerospace and Electronic Systems》 |2019年第6期|3413-3423|共11页
作者
Brown Douglas; Sun Liang;
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作者单位

New Mexico State Univ Klipsch Sch Elect & Comp Engn Las Cruces NM 88003 USA;

New Mexico State Univ Dept Mech & Aerosp Engn Las Cruces NM 88003 USA;

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原文格式 PDF
正文语种 eng
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关键词
Object detection; Aerodynamics; Heuristic algorithms; Unmanned aerial vehicles; Vehicle dynamics; Probabilistic logic; Search problems; Dynamic formation; path planning; probabilistic and exhaustive mobile target search; progressively spiral out (PSO) path; unmanned aerial vehicles (UAV);

机译：物体检测;空气动力学;启发式算法;无人驾驶飞行器;车辆动态;概率逻辑;搜索问题;动态形成;路径规划;概率和详尽的移动目标搜索;逐步螺旋出来（PSO）路径;无人驾驶（PSO）路径;无人驾驶飞行器;

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1. Maritime Search and Rescue Based on Group Mobile Computing for Unmanned Aerial Vehicles and Unmanned Surface Vehicles [J] . Yang Tingting, Jiang Zhi, Sun Ruijin, IEEE transactions on industrial informatics . 2020,第12期

机译：基于Group Mobile Computing为无人机车辆和无人面车辆的海事搜索和救援
2. Experiments in unmanned aerial vehicle/unmanned ground vehicle radiation search [J] . Peterson John, Li Weilin, Cesar-Tondreau Brian, Journal of Robotic Systems . 2019,第4期

机译：无人机/地面无人机辐射搜索实验
3. Analysis of factors affecting the speed of probabilistic target search using unmanned aerial vehicles [J] . Il-Kyu Ha, You-Ze Cho International Journal of Distributed Sensor Networks . 2019,第9期

机译：影响无人飞行器概率目标搜索速度的因素分析
4. Exhaustive mobile target search and non-intrusive reconnaissance using cooperative unmanned aerial vehicles [C] . Douglas Brown, Liang Sun International Conference on Unmanned Aircraft Systems . 2017

机译：协同合作的无人机进行详尽的移动目标搜索和非侵入式侦察
5. Dispatching and loitering policies for unmanned aerial vehicles under dynamically arriving multiple priority targets [D] . Bednowitz, Noah H. 2010

机译：动态到达多个优先目标下的无人机飞行调度策略
6. Honeycomb Map: A Bioinspired Topological Map for Indoor Search and Rescue Unmanned Aerial Vehicles [O] . Ricardo da Rosa, Marco Aurelio Wehrmeister, Thadeu Brito, 2020

机译：蜂窝地图：一种用于室内搜索和营救无人飞行器的受生物启发的拓扑图
7. Optimal Search for Hidden Targets by Unmanned Aerial Vehicles under Imperfect Inspections [O] . Boris Kriheli, Eugene Levner, Alexander Spivak 2016

机译：在不完美检查下，无人驾驶飞行器最佳地搜索隐藏的目标

Dynamic Exhaustive Mobile Target Search Using Unmanned Aerial Vehicles

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