Abstract
his paper introduces a novel 360º calibration tunnel for auto-calibration of multi-camera in the around-view monitoring system. A specific cylindrical pattern is designed to cover the tunnel and to uniquely encode 3D real world. The unusual model- and correspondence-free multi-camera calibration is employed based on our previous work in [1]. In particular, the scale-free fractal designs inside the 360º pattern result in resolution-free calibration and thus makes the tunnel practical for nearly arbitrary resolutions. One of the main advantage of such tunnel is to not only avoid of manually place the calibration multiple patterns around a vehicle which is complex and laborious but also to dramatically decrease the time of the calibration in a range of few seconds. Therefore, the proposed calibration tunnel can be widely applied to vehicle manufacture, verification, and repair and also in future thanks to the progressing of artificial intelligence, for installing in every gas station to calibrate the multi-cameras of autonomous cars.
Reference
Banaeyan, M., & Faezeh, M. (2021). 360 Calibration Tunnel for Around-view Monitoring System. 8th International Conference on New Solutions in Engineering, Information Science and Technology of the Century ahead (ICIET), United Arab Emirates (the). http://hdl.handle.net/20.500.12708/87229