Qu Tianci

Papers

Total Citations

H-Index

About

Qu Tianci is a rising expert in autonomous maritime systems, with a focused research portfolio in intelligent navigation and collision avoidance for unmanned vessels. His most-cited work, "Autonomous ship navigation with an enhanced safety collision avoidance technique" (2023), has already garnered 20 citations, reflecting its timely contribution to safe, AI-driven maritime operations. Tianci’s research integrates advanced sensor fusion and real-time decision-making algorithms to address critical challenges in dynamic sea environments, aiming to reduce human error and improve shipping efficiency. His approach emphasizes robust safety margins, setting his work apart in the field of autonomous navigation. Beyond this flagship paper, Tianci’s broader investigations into vessel path planning and risk assessment have been recognized for their practical implications in next-generation shipping. As a researcher bridging theoretical control systems and applied maritime engineering, he is shaping the future of smart, self-navigating ships. His growing citation impact signals a promising trajectory, making his work essential reading for students and engineers interested in autonomous systems and maritime safety innovation.