Xianpu Liang
Biographic Data
| ID | 9966719 |
|---|---|
| NAME | Xianpu Liang |
| GIVEN NAMES | Xianpu |
| FAMILY NAME | Liang |
| SIGNATURE | LIANG X |
| AFFILIATIONS | Beijing Information Science & Technology University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Tas-Slam
To address the issue of decreased localization accuracy and robustness in existing visual SLAM systems caused by imprecise identification of dynamic regions in complex dynamic scenes—leading to dynamic interference or reduction in valid static feature points, this paper proposes a dynamic visual SLAM method integrating instance-level motion classification, temporally adaptive super-pixel segmentation, and optical flow propagation. The system firs…
Indoor Dynamic Environment Mapping Based on Semantic Fusion and Hierarchical Filtering
To address the challenges of dynamic object interference and redundant information representation in map construction for indoor dynamic environments, this paper proposes an indoor dynamic environment mapping method based on semantic fusion and hierarchical filtering. First, prior dynamic object masks are obtained using the YOLOv8 model, and geometric constraints between prior static objects and dynamic regions are introduced to identify non-prio…
No prominent works on this page.
Tas-Slam
To address the issue of decreased localization accuracy and robustness in existing visual SLAM systems caused by imprecise identification of dynamic regions in complex dynamic scenes—leading to dynamic interference or reduction in valid static feature points, this paper proposes a dynamic visual SLAM method integrating instance-level motion classification, temporally adaptive super-pixel segmentation, and optical flow propagation. The system firs…
Indoor Dynamic Environment Mapping Based on Semantic Fusion and Hierarchical Filtering
To address the challenges of dynamic object interference and redundant information representation in map construction for indoor dynamic environments, this paper proposes an indoor dynamic environment mapping method based on semantic fusion and hierarchical filtering. First, prior dynamic object masks are obtained using the YOLOv8 model, and geometric constraints between prior static objects and dynamic regions are introduced to identify non-prio…
Robotic Path Planning Algorithms (2 works) · Robotics and Sensor-Based Localization (2 works) · Segmentation (2 works) · 3D Surveying and Cultural Heritage (1 work) · Advanced Vision and Imaging (1 work) · Artificial Intelligence (1 work) · Computer Science (1 work) · Computer vision (1 work) · Data mining (1 work) · Grid (1 work)