Papers

1

Total Citations

12

H-Index

1

About

Dr. Liang Qin is a leading researcher in autonomous robotics and sensor fusion, with a particular focus on simultaneous localization and mapping (SLAM) in challenging environments. His most notable contribution is the development of **BVT-SLAM**, a pioneering binocular visible-thermal sensors SLAM system designed specifically for low-light conditions. This work addresses a critical limitation of traditional visible-light camera-based SLAM, which often fails in darkness or poor illumination. By integrating thermal imaging with visible sensors, Dr. Qin’s system enables autonomous robots to maintain robust localization and mapping even in extreme lighting scenarios. His paper on BVT-SLAM has already garnered **12 citations** since its 2023 publication, reflecting its immediate relevance and impact on the field. Dr. Qin’s research is instrumental in advancing robotic navigation for applications such as search-and-rescue, night-time surveillance, and planetary exploration, where reliable SLAM is essential. His innovative fusion of thermal and visible modalities marks a significant step forward in making autonomous systems more resilient and versatile in real-world, low-visibility conditions.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
BVT-SLAM: A Binocular Visible-Thermal Sensors SLAM System in Low-Light Environments
12 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Electronic Science and Technology of China

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago