├── README.md
└── fig
└── main.jpg
/README.md:
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1 | # Uni-mapper
2 | [**Video**](https://www.youtube.com/watch?v=GoqtjIIt8MI)
3 |
4 |
5 | This repository is the official code of the paper:
6 |
7 | > **Uni-Mapper: Unified Mapping Framework for Multi-modal LiDARs in Complex and Dynamic Environments**
8 | >
9 | > [Gilhwan Kang](https://scholar.google.com/citations?user=F6dY8DoAAAAJ&hl=ko), [Hogyun Kim](https://scholar.google.com/citations?user=t5UEbooAAAAJ&hl=ko), [Byunghee Choi](), [Seokhwan Jeong](), [Young-Sik Shin](https://scholar.google.com/citations?user=gGfBRawAAAAJ&hl=ko)*, and [Younggun Cho](https://scholar.google.com/citations?user=W5MOKWIAAAAJ&hl=ko&oi=ao)*.
10 | > * Corresponding Authors.
11 | >
12 | > *under review for journal paper*
13 |
14 | 
15 |
16 | ## Introduction
17 | **Uni-mapper** is a map-merging framework for multi-modal LiDARs in complex and dynamic environments.
18 | Our approach consists of three core components: dynamic object removal, dynamic-aware scene description, and multiple map alignment. A voxel-wise free space hash map is built to remove dynamic objects by combining sequential free spaces. This is integrated with a stable triangle descriptor (STD) to form DynaSTD, which preserves static points and is effective across multi-modal LiDARs. DynaSTD is used for pose graph optimizations in intra-session and inter-map loop closures, with a centralized anchor-node approach to reduce intra-session drift errors.
19 |
20 | ## Table of Contents
21 | > **__Note__** The code will be released after the paper is accepted.
22 | >
23 | > **Setup**
24 | > - Installation
25 | > - Datasets
26 | >
27 | > **Example**
28 | > - Merging multiple maps
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/fig/main.jpg:
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https://raw.githubusercontent.com/sparolab/uni-mapper/3b84aef4d5dee567c2b9a9fd386cbddab56f7942/fig/main.jpg
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