Recognition of Landing Target of UAV by Vision Using Machine Learning

抄録

In this paper, we propose a novel method to recognize an H-type landing target accurately based on information only from an image for an unmanned aerial vehicle (UAV). A UAV generally includes an ultrasonic sensor, an infrared sensor, and GPS to obtain its current location. However, there is a possibility that the GPS cannot estimate the correct position depending on the operating environment. By acquiring the height from an image taken with a camera, the UAV can be operated such an environment. In this paper, we focus on the recognition of landing targets, especially for autonomous landing.