Zhansheng Duan

Papers

Total Citations

H-Index

About

Zhansheng Duan is a robotics researcher focused on advancing lidar-based perception and localization for mobile robots. His primary research areas include lidar odometry and mapping (LOAM), relocalization, and 6-DOF pose estimation, with a particular emphasis on enabling robust navigation using low-cost sensors with limited fields of view. Duan’s major contributions involve developing integrated systems that combine lidar-inertial odometry with real-time relocalization capabilities, addressing critical challenges in autonomous navigation where traditional high-cost sensors are impractical. His 2021 paper, "A Low-cost and Robust Mapping and Relocalization Method Base on Lidar Inertial Odometry," introduces a framework that leverages small FoV lidars and IMUs to achieve reliable mapping and position recovery, while his subsequent work, "6-DOF Localization in 3D Feature Points Maps for LiDARs of Small FoV," extends this approach to prior map-based localization. Though early in his career with modest citation counts, Duan’s work is notable for its practical focus on cost-effective solutions, making advanced robotic navigation more accessible. His research holds significant promise for applications in warehouse automation, service robotics, and autonomous vehicles operating in constrained environments.