Zewen Xu
Papers
1
Total Citations
31
H-Index
1
About
Zewen Xu is a leading researcher in the field of robotics and computer vision, with a primary focus on dynamic visual simultaneous localization and mapping (SLAM). His work addresses one of the most challenging problems in autonomous navigation: enabling robots to operate reliably in environments with moving objects. Xu’s highly cited 2021 survey, “A survey: which features are required for dynamic visual simultaneous localization and mapping?” (31 citations), has become a foundational reference for researchers entering this rapidly evolving area. The paper systematically analyzes the critical features and methodologies required for robust SLAM in dynamic settings, bridging a crucial gap between static-world assumptions and real-world applications. By synthesizing pioneering work from both academia and industry, Xu has helped define the research agenda for dynamic SLAM, influencing subsequent developments in robotic perception and autonomous systems. His contributions are particularly valuable for advancing applications in autonomous driving, service robotics, and augmented reality, where handling dynamic environments is essential for practical deployment.
Research Focus
Key Achievements
Top Papers
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