Name
Title | ||
|---|---|---|
An Improved Coarse-To-Fine Motion Estimation Scheme For Lidar Point Cloud Geometry Compression |
Abstract | ||
|---|---|---|
Light detection and ranging (LiDAR) plays a vital role in autonomous driving applications. Due to the enormous volume of point cloud data from LiDAR acquisition, LiDAR point cloud compression schemes are desirable under limited storage and transmission bandwidth. This paper proposes an improved coarse-to-fine motion estimation scheme to significantly reduce the spatial redundancy among LiDAR point... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICMEW53276.2021.9456018 | 2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW) |
Keywords | DocType | ISSN |
Geometry,Three-dimensional displays,Laser radar,Motion estimation,Motion segmentation,Redundancy,Transform coding | Conference | 2330-7927 |
ISBN | Citations | PageRank |
978-1-6654-4989-2 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiamin Jin | 1 | 0 | 0.34 |
| Ge Li | 2 | 147 | 13.87 |
| Yiting Shao | 3 | 15 | 3.61 |
| Fei Song | 4 | 0 | 0.34 |
| Ruonan Zhang | 5 | 262 | 41.02 |