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基于视觉的多旋翼无人机定位与地图构建
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郭峰, 王国胜, 吕强, 张洋
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    装甲兵工程学院控制工程系, 北京 100072
Vision based localization and mapping for multi-rotor UAV
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出版时间: 2017-04-13 doi: 10.3981/j.issn.1000-7857.2017.07.010
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在缺乏GPS 等定位方式的未知环境中,采用视觉的方法对多旋翼无人机定位导航与地图构建逐渐成为该领域研究的热点,本文针对无人机的视觉定位与地图构建技术方法进行综述。首先,分析了两种自主飞行控制方式的优缺点,指出设计的要求和难点;其次,研究无人机定位与地图构建的不同视觉方法,对几种方法特点进行分析并总结研究现状;最后,讨论多旋翼无人机视觉控制的发展趋势。
多旋翼无人机  /  飞行控制  /  视觉定位  /  地图构建
In GPS-denied unknown environment, the visual navigation and mapping for multi-rotor UAVs has become popular within the unmanned aircraft field. This paper gives an introduction to the technologies of UAV visual localization and mapping. First of all, the relative merits of two different autonomous flight control systems are analyzed and the difficulties and requirements of design are pointed out. Then, the different visual methods of UAV localization and mapping are investigated, the characteristics of some UAV visual methods are analyzed, and its present research development is summarized. Finally, the future research direction of UAV visual control is discussed.
multi-rotor UAV  /  flight control  /  visual localization  /  mapping
郭峰, 王国胜, 吕强, 张洋. 基于视觉的多旋翼无人机定位与地图构建. 科技导报, 2017 , 35 (7) : 83 -87 . DOI: 10.3981/j.issn.1000-7857.2017.07.010
GUO Feng, WANG Guosheng, LÜ Qiang, ZHANG Yang. Vision based localization and mapping for multi-rotor UAV[J]. Science & Technology Review, 2017 , 35 (7) : 83 -87 . DOI: 10.3981/j.issn.1000-7857.2017.07.010
2017年第35卷第7期
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doi: 10.3981/j.issn.1000-7857.2017.07.010
  • 接收时间:2015-10-19
  • 首发时间:2017-04-18
  • 出版时间:2017-04-13
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  • 收稿日期:2015-10-19
  • 修回日期:2016-10-28
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
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占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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