Huiqing Pang
Papers
1
Total Citations
3
H-Index
1
About
Huiqing Pang is a researcher focused on computer vision and robotics, with a particular emphasis on improving human-robot interaction in indoor environments. Their key contributions lie in developing advanced image segmentation techniques to enhance pedestrian detection and trajectory prediction for mobile robots. Pang’s most cited work, “An H-GrabCut Image Segmentation Algorithm for Indoor Pedestrian Background Removal” (2023), addresses a critical challenge in robotics: accurately measuring distances between indoor pedestrians and autonomous systems. By refining the GrabCut algorithm to isolate pedestrians as regions of interest, this research mitigates background noise that often compromises distance estimation and trajectory forecasting. While still emerging, with 3 citations to date, the work demonstrates Pang’s commitment to solving practical problems in safe robot navigation. Their research bridges the gap between theoretical image processing and real-world robotic applications, offering a foundation for more reliable human-aware automation. Pang’s efforts contribute to the growing field of assistive and service robotics, where precise environmental perception is essential for seamless human-robot coexistence.
Research Focus
Key Achievements
Top Papers
- 1