Review on Vision-Based Pose Estimation of UAV Based on Landmark

被引：0
作者：
Yang Zhigui [1 ]
Li ChuanJun [1 ]
机构：
[1] Beijing Inst Technol, Sch Aerosp Engn, Minist Educ, Key Lab Dynam & Control Flight Vehicle, Beijing, Peoples R China
来源：
2017 2ND INTERNATIONAL CONFERENCE ON FRONTIERS OF SENSORS TECHNOLOGIES (ICFST) | 2017年
关键词：
unmanned aerial vehicle; autonomous landing; vision navigation; position and pose estimation;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
UAV is widely used in military and civil fields, and autonomous landing navigation technology is the key technology of UAV. Traditional navigation technology such as GPS and INS can't meet the navigation requirements of the landing stage due to the influence of precision and disturbance. Visual navigation has the advantages of strong anti-interference ability, high precision, low cost and low power consumption, and is gradually applied to UAV navigation especially in the autonomous landing phase. UAV autonomous navigation based on visual navigation can be divided into external vision and airborne vision according to the installation location of visual sensor. Airborne vision has been widely used for better flexibility. The most important technique of UAV autonomous landing navigation based on airborne vision is to estimate the pose of UAV relative to landing field in the landing process. In this paper, we analyzes the principle of several pose parameter calculation algorithm based on landmark in the autonomous landing process, and summarize their characteristics. The aim of this review paper is to provide an extensive overview of existing UAV navigation pose estimation research and a guide for development in the future.
引用
收藏
页码：453 / 457
页数：5
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