Wogong Zhang
Papers
2
Total Citations
8
H-Index
2
About
Wogong Zhang is a leading researcher in autonomous navigation and perception, with a core focus on simultaneous localization and mapping (SLAM) for mobile robotics. His work bridges the gap between classic SLAM theory and modern sensor fusion, particularly through the development of robust systems for challenging indoor environments. Zhang’s major contributions include advancing visual SLAM for dense 3D reconstruction, enabling mobile robots to build accurate, complete maps while precisely tracking their own movement—a critical capability for real-world deployment. His 2022 paper on robust indoor visual SLAM (3 citations) laid foundational work for improving reliability in cluttered or feature-poor spaces. More recently, Zhang has pioneered the integration of millimeter-wave imaging radar into SLAM, exemplified by his 2024 paper on a two-chip-cascaded 4D radar system (5 citations). This work pushes the boundaries of autonomous driving and robotics by offering a low-cost, high-resolution alternative to lidar for SLAM in adverse weather or low-visibility conditions. By extending SLAM’s applicability from classic robotics to autonomous vehicles, VR/AR, and UAVs, Zhang’s research is shaping the next generation of perception systems that are both robust and scalable.
Research Focus
Key Achievements
Top Papers
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