Xiwen Wu
Papers
1
Total Citations
7
H-Index
1
About
Dr. Xiwen Wu is a leading researcher in robotics perception and autonomous navigation, with a primary focus on visual-inertial simultaneous localization and mapping (SLAM) systems. Their most impactful work, "ORB-YOLO: An Indoor IMU-aided Visual-Inertial SLAM System for Dynamic Environment" (2023, 7 citations), addresses a critical challenge in indoor robotics: maintaining accurate localization under low-light conditions and with moving objects. By integrating inertial measurement unit (IMU) data with visual SLAM and a YOLO-based object detection module, Dr. Wu’s system dramatically improves robustness in dynamic, real-world indoor environments where traditional visual SLAM fails. This contribution is vital for applications in service robotics, autonomous drones, and augmented reality. Dr. Wu’s research bridges the gap between theoretical SLAM algorithms and practical deployment, demonstrating how sensor fusion can overcome fundamental limitations of vision-only approaches. Their work is increasingly cited by researchers developing resilient navigation systems for cluttered, human-occupied spaces, marking Dr. Wu as an emerging authority in next-generation SLAM technology.
Research Focus
Key Achievements
Top Papers
- 1