Ratri Widyastuti
Biographic Data
| ID | 9964648 |
|---|---|
| NAME | Ratri Widyastuti |
| GIVEN NAMES | Ratri |
| FAMILY NAME | Widyastuti |
| SIGNATURE | WIDYASTUTI R |
| AFFILIATIONS | Bandung Institute of Technology |
| ORCID | 0000-0003-2068-3307 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Automating Three-Dimensional Cadastral Models of 3D Rights and Buildings Based on the Ladm Framework
Before the development of 3D cadastre, cadastral systems were based on 2D representations, which now require transformation or updating. In this context, the first issue is that existing 2D rights are not aligned with recent 3D data acquired using advanced technologies such as Unmanned Aerial Vehicle–Light Detection and Ranging (UAV-LiDAR). The second issue is that point clouds of objects captured by UAV-LiDAR, such as fences and exterior buildin…
Performance Analysis of Random Forest Algorithm in Automatic Building Segmentation with Limited Data
Airborne laser technology produces point clouds that can be used to build 3D models of buildings. However, the work is a laborious process that could benefit from automation. Artificial intelligence (AI) has been widely used in automating building segmentation as one of the initial stages in the 3D modeling process. The algorithms with a high success rate using point clouds for automatic semantic segmentation are random forest (RF) and PointNet++…
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Performance Analysis of Random Forest Algorithm in Automatic Building Segmentation with Limited Data
Airborne laser technology produces point clouds that can be used to build 3D models of buildings. However, the work is a laborious process that could benefit from automation. Artificial intelligence (AI) has been widely used in automating building segmentation as one of the initial stages in the 3D modeling process. The algorithms with a high success rate using point clouds for automatic semantic segmentation are random forest (RF) and PointNet++…
Automating Three-Dimensional Cadastral Models of 3D Rights and Buildings Based on the Ladm Framework
Before the development of 3D cadastre, cadastral systems were based on 2D representations, which now require transformation or updating. In this context, the first issue is that existing 2D rights are not aligned with recent 3D data acquired using advanced technologies such as Unmanned Aerial Vehicle–Light Detection and Ranging (UAV-LiDAR). The second issue is that point clouds of objects captured by UAV-LiDAR, such as fences and exterior buildin…
3D Modeling in Geospatial Applications (2 works) · 3D Surveying and Cultural Heritage (2 works) · Computer Science (2 works) · Data mining (2 works) · Engineering (2 works) · Point cloud (2 works) · Remote Sensing and LiDAR Applications (2 works) · Artificial Intelligence (1 work) · Automation (1 work) · Building Information Modeling (1 work)