Haihua Cui
Papers
1
Total Citations
3
H-Index
1
About
Haihua Cui is a leading researcher in robotics and autonomous navigation, with a primary focus on simultaneous localization and mapping (SLAM) for mobile robots. Their key contributions center on advancing multi-sensor fusion technologies, which are critical for enabling robots to perceive and navigate complex environments with high accuracy. In their highly cited 2023 work, "Simultaneous localization and mapping of mobile robots with multi-sensor fusion," Cui systematically analyzed SLAM frameworks and demonstrated how integrating data from diverse sensors—such as cameras, LiDAR, and inertial units—can significantly improve mapping robustness and localization precision. This research has garnered 3 citations, reflecting its growing influence in the field of autonomous systems. Cui’s work addresses fundamental challenges in real-world robot deployment, including dynamic environments and sensor noise, making it a valuable resource for students and engineers developing self-driving vehicles, service robots, and exploration drones. By bridging theoretical SLAM algorithms with practical multi-sensor integration, Haihua Cui continues to shape the future of intelligent mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1