A robust real-time vision based GPS-denied navigation system of UAV
文献类型：会议论文
| 作者 | Yang LY(杨丽英) ; Xiao B(肖斌); Zhou Y(周宇); He YQ(何玉庆); Zhang, Hongzhi; Han JD(韩建达)
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| 出版日期 | 2016 |
| 会议名称 | 6th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2016 |
| 会议日期 | June 19-22, 2016 |
| 会议地点 | Chengdu, China |
| 关键词 | UAV Vision-based navigation Target detection Position and velocity estimation |
| 页码 | 321-326 |
| 通讯作者 | 杨丽英 |
| 中文摘要 | In 2015 International UAV Innovation Grand Prix the competition, the cargo transport task is assumed as: there are 4 buckets placed in four circles on one moving platform. Firstly, the unmanned aerial vehicle (UAV) is required to identify circle targets and the black and white id marker near the circle on one moving platform, then the UAV chosen a target bucket, tracked and transported it to the other moving platform, until all 4 buckets are transported from one moving platform to the other. In order to accomplish the cargo transport task, a method of a real-time vision-based GPS-denied multiple object tracking for UAV is developed. The Pixhawk controller is used to achieve tracking, that the relative distance and velocity between the target and UAV is estimated by the image. Finally, the experimental results proved the effectiveness and robustness of the algorithm. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议录 | 6th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2016
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| 会议录出版者 | IEEE |
| 会议录出版地 | Piscataway, NJ, USA |
| 语种 | 英语 |
| ISSN号 | 2379-7711 |
| ISBN号 | 978-1-5090-2732-3 |
| WOS记录号 | WOS:000389835200059 |
| 源URL | [http://ir.sia.cn/handle/173321/19299]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 推荐引用方式 GB/T 7714 | Yang LY,Xiao B,Zhou Y,et al. A robust real-time vision based GPS-denied navigation system of UAV[C]. 见:6th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2016. Chengdu, China. June 19-22, 2016. |
入库方式： OAI收割
来源：沈阳自动化研究所
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