Papers
2
Total Citations
8
H-Index
2
About
Haoyu Zhang is an emerging researcher working at the intersection of computer vision, robotics, and human-computer interaction. His work spans two interconnected domains: visual simultaneous localization and mapping (vSLAM) and human pose estimation, both of which are foundational challenges in modern intelligent systems. Zhang's most notable contribution, "360ORB-SLAM," addresses critical limitations in traditional vSLAM systems by leveraging panoramic imagery combined with a depth completion network, positioning his work at the forefront of AR/VR applications and Industry 4.0 inspection systems. This paper has garnered 6 citations since its 2024 publication, a promising early indicator of its relevance to the robotics and computer vision communities. His complementary research on 3D human pose estimation, applied to the nuanced domain of Tai Chi motion analysis, tackles the persistent challenge of accurately capturing variable human movement speeds across video sequences — a problem that frame-by-frame methods have historically struggled to resolve. This work, accumulating 2 citations since 2023, reflects Zhang's broader interest in bringing intelligent perception to real-world human activity recognition. Together, these contributions mark him as a researcher dedicated to advancing embodied intelligence and immersive technology systems.
Research Focus
Key Achievements
Top Papers
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