Surfel-based lightweight LiDAR-inertial SLAM system for UAV pose estimation
The easily occluded nature of satellite signals poses significant challenges to the pose estimation of small unmanned aerial vehicles. In this paper, a lightweight LiDAR (Light Detection and Ranging) -inertial SLAM (Simultaneous Localization and Mapping) system specifically tailored for UAV pose est...
Saved in:
| Main Authors: | LIU Chang, ZHAO Zixu, SHANG Yuanfeng, QIU Dawei, SHI Jinglin, LIU Jie, JIANG Ji |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Advances in Aeronautical Science and Engineering
2025-06-01
|
| Series: | Hangkong gongcheng jinzhan |
| Subjects: | |
| Online Access: | http://hkgcjz.cnjournals.com/hkgcjz/article/abstract/2023224 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Accurate LiDAR-Inertial SLAM Based on Multi-Category Feature Extraction and Matching
by: Nuo Li, et al.
Published: (2025-07-01) -
LIO-SAM++: A Lidar-Inertial Semantic SLAM with Association Optimization and Keyframe Selection
by: Bingke Shen, et al.
Published: (2024-11-01) -
VOX-LIO: An Effective and Robust LiDAR-Inertial Odometry System Based on Surfel Voxels
by: Meijun Guo, et al.
Published: (2025-06-01) -
Small but Mighty: A Lightweight Feature Enhancement Strategy for LiDAR Odometry in Challenging Environments
by: Jiaping Chen, et al.
Published: (2025-07-01) -
LiDAR as a Geometric Prior: Enhancing Camera Pose Tracking Through High-Fidelity View Synthesis
by: Rafael Muñoz-Salinas, et al.
Published: (2025-08-01)