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A Literature Review of UAV 3D Path Planning
文献类型:会议论文
作者 | Yang L(杨亮)![]() ![]() |
出版日期 | 2014 |
会议日期 | June 29 - July 4, 2014 |
会议地点 | Shenyang, China |
关键词 | Uav 3d Path Planning Sampling Based Algorithms Node Based Algorithms Multi-fusion Based Algorithms Mathematic Model Based Algorithms |
页码 | 2376-2381 |
英文摘要 | 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. |
产权排序 | 1 |
会议录 | Proceeding of the 11th World Congress on Intelligent Control and Automation
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会议录出版者 | IEEE |
会议录出版地 | Piscataway, NJ, USA |
语种 | 英语 |
ISBN号 | 978-1-4799-5825-2 |
WOS记录号 | WOS:000393066202067 |
源URL | [http://ir.sia.cn/handle/173321/15384] ![]() |
专题 | 沈阳自动化研究所_机器人学研究室 |
作者单位 | 1.Department of Electrical Engineering, City University of New York, Convent Avenue and 140th Street, New York, United States 2.University of Chinese Academy of Sciences, Beijing, China 3.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China 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,Xia Y. A Literature Review of UAV 3D Path Planning[C]. 见:. Shenyang, China. June 29 - July 4, 2014. |
入库方式: OAI收割
来源:沈阳自动化研究所
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