arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2103.12941cs.RO
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单次拍摄就足够了:基于全景基础设施的多摄像机和3D LiDARs校准

Single-Shot is Enough: Panoramic Infrastructure Based Calibration of Multiple Cameras and 3D LiDARs

Alibaba Group(阿里巴巴集团)

Chuan Fang, Shuai Ding, Zilong Dong, Honghua Li, Siyu Zhu, Ping Tan

摘要:

多个相机和3D Li-DAR的集成已经成为增强现实设备、机器人和自动驾驶汽车的基本配置。多模态传感器的校准对于系统正常运行至关重要,但对于大规模生产来说仍然是繁琐和不切实际的。此外,大多数设备在使用一段时间后需要重新校准。在本文中,我们提出了一个单次拍摄的解决方案,用于校准多个相机和3D激光雷达之间的外部转换。我们建立了一个全景基础设施,其中相机或激光雷达可以使用来自单帧的数据进行鲁棒定位。在三个具有不同相机LiDAR配置的设备上进行了实验,表明我们的方法与最先进的方法实现了相当的校准精度,但效率更高。

英文摘要:

The integration of multiple cameras and 3D Li- DARs has become basic configuration of augmented reality devices, robotics, and autonomous vehicles. The calibration of multi-modal sensors is crucial for a system to properly function, but it remains tedious and impractical for mass production. Moreover, most devices require re-calibration after usage for certain period of time. In this paper, we propose a single-shot solution for calibrating extrinsic transformations among multiple cameras and 3D LiDARs. We establish a panoramic infrastructure, in which a camera or LiDAR can be robustly localized using data from single frame. Experiments are conducted on three devices with different camera-LiDAR configurations, showing that our approach achieved comparable calibration accuracy with the state-of-the-art approaches but with much greater efficiency.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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