Faster-lio论文翻译_fasterlio

摘要

        本文提出了一种基于增量体素的激光惯性里程计（LIO）方法，用于快速跟踪旋转和固态激光雷达。为了实现快速的跟踪速度，我们既没有使用复杂的基于树的结构来划分空间点云，也没有使用严格的k最近邻(k-NN)查询计算点匹配。相反，我们使用增量体素(iVox)作为我们的点云空间数据结构（增量体素是对传统体素的修改、支持增量插入和并行近似k-NN查找）。我们把线性iVox和PHC（伪希尔伯特曲线）iVox作为我们算法两种可选的底层数据结构。实验结果表明，仅仅使用现代的CPU，iVox在固态激光雷达中的每次扫描中可以达到1000~2000hz，而32线激光雷达则超过了200hz，同时仍保持相同水平的精度。

1 简介

2 相关工作

3 IVox:Incremental Sparse Voxels

A. IVox的数据结构

B. k-NN搜索

C. 增量地图

4 IVox-PHC

A. iVox-PHC的底层结构

B. iVox-PHC的k-NN搜索

C. iVox-PHC和iVox的复杂度

5 实验

6 结论

7 参考文献

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