Honghui Xie

Papers

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About

Honghui Xie is a researcher specializing in robotics perception, sensor fusion, and simultaneous localization and mapping (SLAM), with a particular focus on constructing accurate 3D maps of complex indoor environments. His major contributions lie in developing efficient methods that bridge 2D and 3D mapping, enabling robots to navigate and understand multi-floor buildings with improved real-time performance. In his most cited work, “A SLAM with simultaneous construction of 2D and 3D maps based on Rao-Blackwellized particle filters” (2018, 9 citations), Xie introduced a novel approach that concurrently builds 2D grid maps and 3D OctoMaps, leveraging particle filters to enhance pose estimation. His subsequent research, “3D Mapping of Multi-floor Buildings Based on Sensor Fusion” (2017, 8 citations), advanced the field by integrating laser range sensors, barometric pressure sensors, and Kinect data to achieve highly accurate, floor-aware 3D mapping. Additionally, his work on “3D Indoor Map Building with Monte Carlo Localization in 2D Map” (2016, 4 citations) addressed the limitations of visual odometry, offering a more robust and real-time alternative for indoor robot localization. Xie’s research has practical implications for autonomous navigation in challenging indoor settings, making his contributions valuable for students and researchers in mobile robotics and spatial intelligence.