Hezhao Liu
Papers
2
Total Citations
13
H-Index
2
About
Hezhao Liu is a robotics researcher specializing in state estimation and simultaneous localization and mapping (SLAM) for perceptually challenging environments. His work focuses on developing robust sensor fusion algorithms that enable autonomous mobile robots to navigate reliably when conventional visual systems fail. Liu’s most cited paper, “A 3D LiDAR-Inertial Tightly-Coupled SLAM for Mobile Robots on Indoor Environment” (2024, 9 citations), addresses the fundamental problem of geometric degradation in indoor settings—particularly long corridors and homogeneous structures—by tightly integrating low-resolution 3D LiDAR with inertial measurements. Building on this, his more recent work “WTI-SLAM: a novel thermal infrared visual SLAM algorithm for weak texture thermal infrared images” (2025, 4 citations) pioneers the use of thermal infrared sensing for localization under zero-visibility conditions, including complete darkness and adverse weather. By introducing novel feature extraction methods for weak-texture thermal imagery, Liu is expanding the operational envelope of SLAM systems into environments where traditional cameras and even LiDAR struggle. His contributions are particularly valuable for applications in underground mining, disaster response, and nighttime autonomous navigation, establishing him as an emerging leader in resilient perception for field robotics.
Research Focus
Key Achievements
Top Papers
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