Rui Yuan

Papers

Total Citations

H-Index

About

Rui Yuan is a researcher focused on advancing autonomous driving and mobile robotics, with key contributions to large-scale mapping and localization. Their most notable work, "LM-Mapping: Large-Scale and Multi-Session Point Cloud Consistent Mapping" (2024), addresses the critical challenge of constructing high-precision prior maps for outdoor environments. Yuan tackles issues like sensor degradation and measurement errors that cause map inconsistencies across multiple data collection sessions, proposing a method to ensure point cloud alignment and consistency. This work has already garnered attention in the field, with 1 citation in its early stages. Yuan's research is pivotal for enabling reliable navigation in complex, large-scale scenes, where segmented or repeatedly collected maps often suffer from drift and misalignment. By improving map fidelity across sessions, their contributions directly impact the robustness of autonomous systems. As a rising voice in spatial intelligence, Yuan continues to push boundaries in consistent mapping, offering practical solutions for real-world deployment in self-driving vehicles and mobile robots.