Papers
16
Total Citations
208
H-Index
8
About
Jianzhu Huai is a leading researcher in the fields of indoor positioning, autonomous driving, and multi-sensor fusion for robotics. His work centers on developing robust localization systems that integrate LiDAR, IMU, and camera data to navigate complex, dynamic environments. Huai’s major contributions include pioneering RSS-based visible light positioning using nonlinear optimization (71 citations) and advancing multi-sensor fusion with moving object segmentation for robust 3D localization (21 citations). He has also developed innovative data-model dual-driven fusion frameworks with uncertainty estimation for LiDAR-IMU systems (17 citations) and real-time large-scale 3D reconstruction by fusing Kinect and IMU data (15 citations). His notable achievements include creating the Mobile AR Sensor Logger for Android and iOS (11 citations), which supports augmented reality research, and the Segway DRIVE Benchmark (8 citations), a dataset for place recognition and SLAM collected by delivery robots. Huai’s work on semantics-enhanced discriminative descriptor learning for LiDAR-based place recognition (11 citations) and transformer-based point cloud place recognition (14 citations) further underscores his impact. With over 200 total citations, Huai’s research continues to shape the future of autonomous navigation and spatial intelligence.
Research Focus
Key Achievements
Top Papers
- 1RSS-Based Visible Light Positioning Using Nonlinear Optimization71 citations · 2022
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- 4REAL-TIME LARGE SCALE 3D RECONSTRUCTION BY FUSING KINECT AND IMU DATA15 citations · 2015
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- 7The Mobile AR Sensor Logger for Android and iOS devices11 citations · 2019
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