Boyang Niu
Papers
1
Total Citations
9
H-Index
1
About
Boyang Niu is a researcher whose work sits at the intersection of robotics, computer vision, and 3D mapping. His key contributions center on developing efficient methods for large-scale environmental reconstruction using commodity sensors. In his most-cited work, "Mapping with depth panoramas" (2015, 9 citations), Niu introduced a pioneering approach to constructing detailed 3D models of extended environments by acquiring sequences of depth images from a robotic platform. This technique leverages depth panoramas to overcome the limitations of traditional mapping, enabling more robust and comprehensive spatial understanding. Though his citation count is modest, the work represents a foundational step in accessible, real-world 3D mapping—demonstrating how off-the-shelf depth sensors can be harnessed for autonomous exploration. Niu’s research is particularly notable for its practical emphasis on sensor integration and algorithmic efficiency, making it relevant to students and engineers working on SLAM, robotic perception, and augmented reality. His contributions continue to inform efforts in scalable environmental modeling.
Research Focus
Key Achievements
Top Papers
- 1Mapping with depth panoramas9 citations · 2015