Guohui Xie

Papers

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About

Guohui Xie is a researcher in robotics and autonomous systems, with a primary focus on real-time state estimation and mapping using multi-sensor fusion. His most cited work, "Loosely-coupled lidar-inertial odometry and mapping in real time" (2021), has garnered 10 citations and represents a significant contribution to the field of simultaneous localization and mapping (SLAM). This paper addresses the critical challenge of integrating LiDAR and inertial measurement unit (IMU) data in a loosely-coupled framework, enabling robust and efficient odometry and mapping for mobile robots operating in dynamic or GPS-denied environments. By prioritizing computational efficiency and real-time performance, Xie's approach facilitates practical deployment on resource-constrained platforms, such as drones and ground vehicles. His work is particularly notable for its emphasis on modularity and ease of integration, making it accessible for both academic research and industrial applications. Through this contribution, Xie has advanced the reliability of autonomous navigation systems, offering a scalable solution that balances accuracy with real-time constraints. His research continues to influence the development of robust perception systems for autonomous robots.