Recognition algorithm of landmark for quadrotors aircraft based on image feature of corner points

To solve the problem of lateral navigation control of quadrotors aircraft, a new recognition algorithm of landmark with multi angle observations is proposed. According to the characteristics of landmark, the image is divided into two parts with circle and character H. The analysis reveals a geometric correlation exits between corner points of character H. The correlation has a low sensitivity to rotation post and environment. The results show that recognition algorithm based on corner points not only keeps the real time performance but also detects landmarks at any degree of rotation in the 2D image plane from the air, and outperforms linear feature algorithms. In the end, results of recognition experiments verify the effectiveness of the approach. And the algorithms meets the demands of lateral navigation control of quadrotors aircraft with such advantages as high accuracy, good reliability.