Motion Algorithm for Unmanned Aerial Vehicle Landing on a Car

The authors studied the task of processing the information from the optical system when the UAV is landing on a moving unmanned vehicle. Generally, color image analysis algorithms are very accurate, but they cannot work in real time or need to enhance the performance of professional computers. A compact high-speed color image recognition algorithm is developed basing on a pre-processing method-a "downsample" function for decimation; HSV model; Otsu's method - an algorithm for calculating the binary threshold of grayscale images, and method for isolating connected components-Two-Pass method. The simulation results demonstrated the operating capability and high enough efficiency of the developed algorithm. It is possible to achieve a significant reduction in the implementation time of the algorithm by using the decimation function and the HSV model.