Changjian Jiang
Papers
4
Total Citations
24
H-Index
2
About
Changjian Jiang is a robotics researcher whose work focuses on advancing large-scale 3D reconstruction and autonomous navigation through innovative sensor fusion. His most impactful contribution is the LI-GS system (17 citations), which integrates LiDAR data with 3D Gaussian Splatting to achieve geometrically accurate reconstruction of outdoor, unbounded environments—a critical challenge for field robotics. Jiang also developed LFVB-BioSLAM, a bionic SLAM system that combines a lightweight LiDAR front end with a bio-inspired visual back end, offering a low-power alternative to traditional probabilistic SLAM algorithms. His ER-Mapping system introduces a robust method for generating color-enhanced point clouds by evaluating and selecting extrinsic calibration residuals, improving mapping reliability in real-world conditions. Most recently, his RISED framework addresses the inefficiency of indiscriminate image usage in multisensor SLAM by intelligently selecting images and densifying point clouds for accurate colorization. Across these works, Jiang demonstrates a consistent focus on practical, scalable solutions for robotics perception, bridging the gap between high-fidelity reconstruction and real-time operational constraints.
Research Focus
Key Achievements
Top Papers
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