Minghui Pang

Northwestern Polytechnical University

Papers

1

Total Citations

6

H-Index

1

About

Dr. Minghui Pang is a researcher in autonomous mobile robotics and computer vision, with a focus on object detection for unknown environment exploration. Their most-cited work, "Position Detection of Doors and Windows Based on DSPP-YOLO" (2022, 6 citations), addresses a critical challenge in enabling robots to autonomously navigate unfamiliar spaces by accurately detecting architectural features like doors and windows, which share many visual similarities. This contribution enhances the perceptual capabilities of autonomous systems, improving their ability to map and interact with complex indoor environments. Dr. Pang's research bridges the gap between deep learning-based object detection and practical robotics applications, offering solutions that boost robot autonomy in real-world scenarios. While their citation count is modest, the work represents a targeted advance in a niche area, demonstrating potential for future impact in robotics and artificial intelligence. Dr. Pang's efforts contribute to the broader goal of creating more self-sufficient mobile robots capable of operating without human intervention in unknown settings.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Position Detection of Doors and Windows Based on DSPP-YOLO
6 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Northwestern Polytechnical University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago