A Vision-Based Unmanned Helicopter Ship Board Landing System

Wulan Bagen, Ji-Ying Hu, Yuanming Xu
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引用次数: 15

Abstract

We design a vision-based system to enable an unmanned helicopter to land on a ship. Based on affine moment invariants, fuzzy recognition, Kalman filter and a PI controller, the helicopter can identify a target, track it, and land on it while the ship is in motion even oscillation. A simulation system, including an unmanned helicopter and a ship, has been developed for test our ideas. Simulation results validate our algorithm. In simulation our algorithm has successfully isolated the influence of helicopter's oscillation and found the best threshold between performance and precision. The results shown that our algorithm is robust, the tracker can track target in two-dimensions very well.
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一种基于视觉的无人直升机舰载着陆系统
我们设计了一个基于视觉的系统,使无人直升机能够降落在船上。基于仿射矩不变性、模糊识别、卡尔曼滤波和PI控制器,直升机可以在舰船运动甚至振荡的情况下识别目标、跟踪目标并降落。一个模拟系统,包括一架无人直升机和一艘船,已经被开发出来测试我们的想法。仿真结果验证了算法的有效性。仿真结果表明,该算法成功地隔离了直升机振动的影响,找到了性能与精度之间的最佳阈值。结果表明,该算法具有较好的鲁棒性,跟踪器能很好地跟踪二维目标。
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