UAV-Based Multi-Sensor Data Fusion for 3D Building Detection
Three-dimensional building extraction is crucial for urban planning, environmental analysis, and autonomous navigation. One method for data collection involves using unmanned aerial vehicles (UAVs), which allow for flexible and rapid data acquisition. However, accurate 3D building extraction from th...
Saved in:
| Main Authors: | Mohsen Shahraki, Ahmed El-Rabbany, Ahmed Elamin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Proceedings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-3900/110/1/12 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Automatic cattle identification system based on color point cloud using hybrid PointNet++ Siamese network
by: Pyae Phyo Kyaw, et al.
Published: (2025-07-01) -
A novel coal-rock recognition method in coal mining face based on fusing laser point cloud and images
by: Yang Liu, et al.
Published: (2025-07-01) -
Nondestructive detection of sweet potato leaf curl virus using 3D laser imaging combined with deep learning
by: Yican Yang, et al.
Published: (2025-08-01) -
LiDAR Sensor Parameter Augmentation and Data-Driven Influence Analysis on Deep-Learning-Based People Detection
by: Lukas Haas, et al.
Published: (2025-05-01) -
Research on Target-detection and Tracking of Intelligent Mine Trucks in Open-pit Mines
by: LI Yuanzhengyu, et al.
Published: (2022-10-01)