Beihang University

Xiaoyan Luo

Bo Liu

Xiaofeng Shi

Chengxi Wu

The present disclosure provides an unmanned aerial vehicle platform based vision measurement method for a static rigid object. Aiming at the problem of high professionality but poor versatility of existing vision measurement methods, the present disclosure uses a method combining object detection and three-dimensional reconstruction to mark an object to be measured, and uses a three-dimensional point cloud processing method to further mark a size to be measured and calculate its length, which takes full advantage of the convenience of data collection by an unmanned aerial vehicle platform (UAV), and its global navigation satellite system (GNSS), an inertial measurement unit (IMU) and the like to assist measurement. There is no need to use common auxiliary devices such as a light pen and a marker, which can improve the versatility of vision measurement.

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Beijing, China

Xiaoyan Luo