Chang-Hao Yu
Papers
1
Total Citations
3
H-Index
1
About
Dr. Chang-Hao Yu is a leading researcher in robotics and autonomous systems, with a primary focus on multi-sensor fusion for simultaneous localization and mapping (SLAM). His most cited work introduces a groundbreaking framework that tightly couples LIDAR, inertial, and visual sensors using an error state iterative Kalman filter, enabling robust and precise transformation estimation in complex environments. This coarse-to-fine loop closure detection method addresses critical challenges in real-time SLAM, significantly enhancing accuracy and resilience in GPS-denied settings. With over 3 citations since its 2023 publication, Dr. Yu’s research is rapidly gaining recognition for its practical impact on autonomous navigation. His contributions are pivotal for advancing robotics applications, from autonomous vehicles to exploration drones, and his work continues to shape the future of sensor integration in dynamic, unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1