Compact and low-cost devices are needed for autonomous driving to image and measure distances to objects 360-degree around. We have been developing an omnidirectional stereo camera exploiting two hyperbolic mirrors and a single set of a lens and sensor, which makes this camera compact and cost efficient. We establish a new calibration method for this camera considering higher-order radial distortion, detailed tangential distortion, an image sensor tilt, and a lens-mirror offset. Our method reduces the calibration error by 6.0 and 4.3 times for the upper- and lower-view images, respectively. The random error of the distance measurement is 4.9% and the systematic error is 5.7% up to objects 14 meters apart, which is improved almost nine times compared to the conventional method. The remaining distance errors is due to a degraded optical resolution of the prototype, which we plan to make further improvements as future work.
@article{arxiv.2108.07936,
title = {Calibration Method of the Monocular Omnidirectional Stereo Camera},
author = {Ryota Kawamata and Keiichi Betsui and Kazuyoshi Yamazaki and Rei Sakakibara and Takeshi Shimano},
journal= {arXiv preprint arXiv:2108.07936},
year = {2021}
}
Comments
8 pages, 8 figures, 2 tables, accepted for publication in International Journal of Automotive Engineering