Wide-baseline visible light camera pose estimation method

Abstract

The invention relates to a wide-baseline visible light camera pose estimation method. The method includes the steps that firstly, the Zhang calibration method is used, and internal references of cameras are calibrated through a plane calibration board; eight datum points on a landing runway are selected in a public visual field region of the cameras and world coordinates of the datum points are accurately measured off line through a total station; in the calibration process, cooperation identification lamps are placed in the positions of the datum points and the poses of the cameras are accurately calculated through detection of the cooperation identification lamps. According to the method, the complex natural scene characteristic of an unmanned aerial vehicle landing scene and the physical light sensing characteristic of the cameras are considered, and glare flashlights are designed and used as the cooperation identification lamps of the visible light cameras; the eight datum points are arranged on the landing runway and space coordinates of the datum points are measured through the total station according to space accuracy at a 10 <-6> m level. According to the method, a calibration result is accurate and a re-projection error on an image is below 0.5 pixel.

Description

technical field [0001] The invention relates to a method for estimating the pose of a camera, in particular to a method for estimating the pose of a wide-baseline visible light camera in an autonomous landing ground guidance system for an unmanned aerial vehicle. Background technique [0002] Vision-based UAV autonomous landing navigation is a new type of navigation technology developed rapidly in recent years. Compared with traditional inertial-based and GPS-based navigation technologies, Advantages of high precision. The ground guidance system for autonomous landing of UAVs refers specifically to the guidance system in which the measurement camera is installed on the ground runway. An important task of establishing the system is to accurately calibrate the internal and external parameters of the camera under the conditions of large scenes and wide baselines. [0003] The document "Robust Multi-View Camera Calibration for Wide-Baseline Camera Networks, WACV, 2011:321-328"...

AI Technical Summary

Problems solved by technology

As far as the UAV autonomous landing system is concerned, the method based on the image features of the natural scene will be affected by unpredictable environmental factors such as weather and light, and it is difficult to directly apply it to the complex outdoor environment.

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