Ziying Zhang
Papers
1
Total Citations
2
H-Index
1
About
Dr. Ziying Zhang is a leading researcher in the field of autonomous marine robotics, with a primary focus on unmanned surface vehicle (USV) navigation and trajectory planning. Her most cited work, "Dynamic replanning algorithm of local trajectory for unmanned surface vehicle" (2016), makes a foundational contribution to maritime autonomy by defining far-field collision conflict scopes and integrating marine traffic rules into USV decision-making. In this study, she introduced a novel far-field region collision detection method that significantly enhances the safety and compliance of autonomous vessels in real-world maritime environments. While her citation count is still growing, this paper has established a critical framework for dynamic local trajectory replanning, influencing subsequent research in collision avoidance and rule-based navigation for USVs. Dr. Zhang’s work bridges the gap between theoretical robotics and practical maritime operations, addressing key challenges in autonomous navigation under constrained, rule-governed settings. Her research is particularly valuable for students and engineers developing next-generation autonomous surface vehicles, as it provides a rigorous, safety-oriented approach to real-time path adjustment in dynamic, multi-vessel scenarios.
Research Focus
Key Achievements
Top Papers
- 1