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About

Qianfeng Jing is a researcher at the forefront of maritime autonomy, with a primary focus on autonomous surface vessels (ASVs) and their critical maneuvering phases. His work centers on solving the complex challenge of automated berthing, where precise state estimation is essential for safe and reliable docking. Jing’s major contributions lie in leveraging 3D LiDAR technology to estimate the berthing state of ships, a foundational step for enabling full autonomy in constrained harbor environments. His most cited work, "Estimation of berthing state of maritime autonomous surface ships based on 3D LiDAR" (2022), has garnered 53 citations, highlighting its significance in the field. Additionally, he developed a universal simulation framework for shipborne inertial sensors using the Robot Operating System (ROS), providing a powerful virtual test environment that accelerates ASV research. This framework, detailed in his 2021 paper, has earned 10 citations and is noted for its practical utility. With a growing body of work that bridges simulation and real-world application, Qianfeng Jing is establishing himself as a key contributor to the next generation of intelligent maritime systems.