The accurate detection of cooperative targets plays a key and foundational role in unmanned aerial vehicle (UAV) landing autonomously. The standard method based on fixed threshold is too susceptible to both illumination variations and interference. To overcome issues above, a robust detection algorithm with triple constraints for cooperative targets based on spectral residual (TCSR) is proposed. Firstly, by designing an asymmetric cooperative target, which comprises red background, green H and triangle target, the captured original image is converted into a Lab color space, whose saliency map is yielded by constructing the spectral residual. Then, the triple constraints are developed according to the prior knowledge of the cooperative target. Finally, the salient region in saliency map is considered as the cooperative target, and it meets the triple constraints. Experimental results in complex environments show that the proposed TCSR outperforms the standard methods in higher detection accuracy and lower false alarm rate.
分析了激光捷联惯性导航系统中的激光陀螺频谱特性,指出激光捷联惯性导航系统中三个激光陀螺的抖动频率会互相干扰。提出一种多凹点有限冲击响应低通滤波器频域设计方法,通过指定三个抖动频率点幅值为小量,在幅频特性曲线上产生三个凹陷点。该滤波器采用标准滤波算法,同时实现了对激光捷联惯性导航系统三个激光陀螺的滤波和机抖信号的陷波。给出了一个24阶多凹点滤波器设计实例,幅频特性分析说明,由于三个陷波点的集中,该滤波器还可以在机抖频率可能存在的频段上,提供额外的80 d B以上的衰减,可防止激光陀螺抖动频率漂移后陷波性能下降。试验结果表明,多凹点滤波器输出数据波动幅度比原激光捷联惯性导航系统使用的滤波器结果减小5~8倍,三轴摇摆试验的导航精度也有一定提高。
