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A Literature Review of UAV 3D Path Planning
Yang L(杨亮); Qi JT(齐俊桐); Xiao JZ(肖继忠); Xia Y(夏泳)
作者部门机器人学研究室
会议名称11th World Congress on Intelligent Control and Automation (WCICA 2014)
会议日期June 29 - July 4, 2014
会议地点Shenyang, China
会议录名称Proceeding of the 11th World Congress on Intelligent Control and Automation
出版者IEEE
出版地Piscataway, NJ, USA
2014
页码2376-2381
收录类别EI ; CPCI(ISTP)
EI收录号20152600978187
WOS记录号WOS:000393066202067
产权排序1
ISBN号978-1-4799-5825-2
关键词Uav 3d Path Planning Sampling Based Algorithms Node Based Algorithms Multi-fusion Based Algorithms Mathematic Model Based Algorithms
摘要3D path planning of unmanned aerial vehicle (UAV) targets at finding an optimal and collision free path in a 3D cluttered environment while taking into account the geometric, physical and temporal constraints. Although a lot of works have been done to solve UAV 3D path planning problem, there lacks a comprehensive survey on this topic, let alone the recently published works that focus on this field. This paper analyses the most successful UAV 3D path planning algorithms that developed in recent years. This paper classifies the UAV 3D path planning methods into five categories, sampling-based algorithms, node-based algorithms, mathematical model based algorithms, Bio-inspired algorithms, and multi-fusion based algorithms. For each category a critical analysis and comparison is given. Furthermore a comprehensive applicable analysis for each kind of method is presented after considering its working mechanism and time complexity. 
语种英语
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被引频次:10[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/15384
专题机器人学研究室
作者单位1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.University of Chinese Academy of Sciences, Beijing, China
3.Department of Electrical Engineering, City University of New York, Convent Avenue and 140th Street, New York, United States
4.Benxi Electric Power Supply Company, State Grid Liaoning Electric Power Company, Benxi Liaoning Province, China
推荐引用方式
GB/T 7714
Yang L,Qi JT,Xiao JZ,et al. A Literature Review of UAV 3D Path Planning[C]. Piscataway, NJ, USA:IEEE,2014:2376-2381.
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