论文标题
无人驾驶系统的相对视觉定位
Relative Visual Localization for Unmanned Aerial Systems
论文作者
论文摘要
在GPS有限的环境中,合作无人驾驶系统(UASS)需要准确的姿势安置系统,以确保有效的操作。在本文中,我们介绍了一个新型的视觉相对定位系统,该系统能够使用球形摄像头在UAS的周围环境中监视360美元的视野(FOV)。合作的UASS携带一组由摄像机系统检测到的基金标记。球形图像被分配并纠正成一组正方形图像。提出了一种算法来选择平衡计算负载的图像数量,同时保持最小跟踪准确级。开发的系统在球形摄像机附近跟踪UASS和使用两个UASS的实验研究,以验证相对视觉定位的性能,以针对运动捕获系统的性能。
Cooperative Unmanned Aerial Systems (UASs) in GPS-denied environments demand an accurate pose-localization system to ensure efficient operation. In this paper we present a novel visual relative localization system capable of monitoring a 360$^o$ Field-of-View (FoV) in the immediate surroundings of the UAS using a spherical camera. Collaborating UASs carry a set of fiducial markers which are detected by the camera-system. The spherical image is partitioned and rectified into a set of square images. An algorithm is proposed to select the number of images that balances the computational load while maintaining a minimum tracking-accuracy level. The developed system tracks UASs in the vicinity of the spherical camera and experimental studies using two UASs are offered to validate the performance of the relative visual localization against that of a motion capture system.