Motion estimation and prediction from 3D point clouds
Understanding the motion of dynamic environments holds significant benefits for various applications, including robotics and autonomous driving. Scene flow estimation from 3D point clouds, which outputs a per-point 3D motion field between two consecutive time steps, has garnered increasing attention...
Saved in:
Main Author: | Li, Ruibo |
---|---|
Other Authors: | Lin Guosheng |
Format: | Thesis-Doctor of Philosophy |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/173430 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Temporal feature matching and propagation for semantic segmentation on 3D point cloud sequences
by: Shi, Hanyu, et al.
Published: (2023) -
3D object detection from point cloud
by: Yin, Xiangyu
Published: (2022) -
3D point cloud analytics
by: Png, Samuel Yao Wei
Published: (2022) -
3D point cloud analysis
by: Chiong, Mervyn Jia Rong
Published: (2022) -
3D point cloud analysis
by: Wang, Ruizhi
Published: (2023)