A Calibration Method of Multi-Camera Pose Based on Monocular Vision

The detection of four-wheel alignment parameters has important impact on vehicle safety performance, and 3D image wheel aligner based on computer vision technology is the latest wheel alignment product. Extraction method for image feature of the target, and calibration method for the camera parameters associated with four-wheel alignment technology are often researched, but calibration method for multi-camera based on monocular vision is rarely researched. A convenient calibration method for multi-camera pose relationship is presented in this paper. The calibration device and calibration process for the method are all relatively simple. The device is a rigid-body consisting of two targets connected with a long beam, and the relative positional relationship between the two targets may be unknown before calibration. The results of simulation and experiment show that calibration method is feasible and effective, which can reach the calibration accuracy.