Shiyong Jiang
Papers
1
Total Citations
2
H-Index
1
About
Shiyong Jiang is a researcher advancing the intersection of computer vision and construction robotics, with a primary focus on automated building inspection and robotic manipulation in complex structural environments. His most notable contribution is the development of a dual-flow aggregation network for curtain wall frame segmentation, a critical step toward enabling robots to accurately estimate their pose relative to building facades. This work, published in 2024 and already garnering 2 citations, addresses a fundamental challenge in construction automation: how to parse repetitive, reflective, and geometrically complex building surfaces in real time. By fusing multi-scale visual features through a dual-flow architecture, Jiang’s method achieves robust segmentation under varying lighting and occlusion conditions, directly supporting autonomous robotic tasks such as cleaning, inspection, and assembly of curtain wall systems. His research holds significant promise for reducing human labor in hazardous high-rise construction environments and improving the precision of robotic operations on site. As the field of construction robotics rapidly expands, Jiang’s contributions are laying essential groundwork for more intelligent, vision-guided automation in the built environment.
Research Focus
Key Achievements
Top Papers
- 1