Bohan Shi

Papers

Total Citations

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About

Bohan Shi is a researcher in robotics and autonomous systems, with a primary focus on 3D LiDAR mapping and state estimation for mobile robots. His key contributions center on developing optimization-based mapping frameworks that enhance the accuracy and consistency of spatial representations. In his most cited work, "BA-CLM: A Globally Consistent 3D LiDAR Mapping Based on BA Cost Factors" (2024), Shi introduces a novel approach that directly optimizes scene structure during graph optimization—an advancement over traditional methods that only constrain robot poses. This work addresses a critical limitation in existing mapping techniques, enabling more reliable long-term navigation for mobile robots. While his citation count is still growing, the paper has already garnered attention for its innovative integration of bundle adjustment cost factors into LiDAR mapping pipelines. Shi’s research is particularly relevant for applications in autonomous driving, field robotics, and simultaneous localization and mapping (SLAM), where high-precision maps are essential. His work represents a meaningful step toward more robust and globally consistent mapping systems, positioning him as an emerging contributor to the field of robotic perception.