Knowledge Commons of Institute of Automation,CAS
RI-LIO: Reflectivity Image Assisted Tightly-Coupled LiDAR-Inertial Odometry | |
Yanfeng Zhang; Yunong Tian![]() ![]() ![]() ![]() | |
发表期刊 | IEEE Robotics and Automation Letters
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2023 | |
卷号 | 8期号:3页码:1802-1809 |
摘要 | In this letter, we propose RI-LIO, a new reflectivity image assisted tightly-coupled LiDAR-inertial odometry (LIO) framework that introduces additional reflectivity texture information to efficiently reduce the drift of geometric-only methods. To achieve this, we construct an iterated extended Kalman filter framework by blending the point-to-plane geometric measurement and the reflectivity image measurement. Specifically, the geometric measurement is defined as the distance from the raw point of a new scan to its nearest neighbor plane in the global incremental kd-tree map. The searched nearest neighbor point is used to render a sparse reflectivity image after LiDAR motion distortion information is given by its corresponding raw point. Then, the reflectivity measurement is built to align the sparse reflectivity image with the dense reflectivity image of the current scan by minimizing the photometric errors directly. In addition, based on the mechanism of high-resolution LiDAR, a corrected spherical projection model is proposed to project spatial points into the image frame. Finally, extensive experiments are conducted in structured, unstructured and challenging open field scenarios. The results demonstrate that the proposed method outperforms existing geometric-only methods in terms of robustness and accuracy, especially in the rotation direction. |
收录类别 | SCIE |
七大方向——子方向分类 | 机器人感知与决策 |
国重实验室规划方向分类 | 环境多维感知 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/51588 |
专题 | 中国科学院工业视觉智能装备工程实验室 复杂系统认知与决策实验室_先进机器人 |
通讯作者 | Guodong Yang |
推荐引用方式 GB/T 7714 | Yanfeng Zhang,Yunong Tian,Wanguo Wang,et al. RI-LIO: Reflectivity Image Assisted Tightly-Coupled LiDAR-Inertial Odometry[J]. IEEE Robotics and Automation Letters,2023,8(3):1802-1809. |
APA | Yanfeng Zhang.,Yunong Tian.,Wanguo Wang.,Guodong Yang.,Zhishuo Li.,...&Min Tan.(2023).RI-LIO: Reflectivity Image Assisted Tightly-Coupled LiDAR-Inertial Odometry.IEEE Robotics and Automation Letters,8(3),1802-1809. |
MLA | Yanfeng Zhang,et al."RI-LIO: Reflectivity Image Assisted Tightly-Coupled LiDAR-Inertial Odometry".IEEE Robotics and Automation Letters 8.3(2023):1802-1809. |
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二作论文3-张延峰:RI-LIO Ref(7657KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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