Real-Time Target Tracking Based on Airborne Vision
文献类型：会议论文
| 作者 | Zhang, Dongxu2; Gao HW(高宏伟)1,2
|
| 出版日期 | 2020 |
| 会议日期 | September 9-11, 2020 |
| 会议地点 | Fushun, China |
| 关键词 | Uav Object tracking Fuzzy control Ros Yolov3-tiny |
| 页码 | 219-230 |
| 英文摘要 | Aiming at the problem of occlusion that leads to the failure of the tracking task during the real-time tracking of the target by the drone, the tracking-by-detection strategy is used in this article, the system design based on intelligent algorithm of computer vision has been proposed. Yolov3-tiny detection algorithm is used to achieve target recognition, this algorithm combines accuracy and speed very well, and is easy to transplant. At the same time, in order to further improve the control performance, fuzzy adaptive Proportion Integration Differentiation (PID) control algorithm is used in this system to complete the UAV tracking of the car. Verified by simulation, the accuracy of the detection algorithm reaches more than 90%, and the detection speed reaches 30FPS, the tracking effect is good, and it can dynamically adapt to external changes. © 2020, Springer Nature Singapore Pte Ltd. |
| 产权排序 | 2 |
| 会议录 | Robotics and Rehabilitation Intelligence - First International Conference, ICRRI 2020, Proceedings
 |
| 会议录出版者 | Springer Science and Business Media Deutschland GmbH |
| 会议录出版地 | Berlin |
| 语种 | 英语 |
| ISSN号 | 1865-0929 |
| ISBN号 | 978-981-33-4931-5 |
| 源URL | [http://ir.sia.cn/handle/173321/28355]  |
| 专题 | 沈阳自动化研究所_空间自动化技术研究室 |
| 通讯作者 | Gao HW(高宏伟) |
| 作者单位 | 1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 2.College of Automation and Electrical Engineering, Shenyang Ligong University, Shenyang 110159, China |
| 推荐引用方式 GB/T 7714 | Zhang, Dongxu,Gao HW. Real-Time Target Tracking Based on Airborne Vision[C]. 见:. Fushun, China. September 9-11, 2020. |
入库方式： OAI收割
来源：沈阳自动化研究所
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