Yifei Liu

Carnegie Mellon University

Papers

1

Total Citations

3

H-Index

1

About

Dr. Yifei Liu is a leading researcher in autonomous aerial systems and robotic perception, with a focus on enabling robust depth perception in visually degraded environments. Their most notable contribution is the creation of the FIReStereo dataset, the first large-scale forest infrared stereo dataset designed for uncrewed aerial systems (UAS). This work addresses a critical gap in the field: while thermal imaging cameras are inherently robust to visual degradation from smoke, fog, or low light, their application in autonomous navigation has been limited by the lack of comprehensive training data. By providing a high-quality, annotated thermal stereo dataset, Dr. Liu has enabled significant advances in depth perception for UAS operating in challenging forest environments, such as during wildfire monitoring or search-and-rescue missions. Though recently published in 2025, the FIReStereo paper has already garnered 3 citations, signaling its immediate impact and growing influence. Dr. Liu’s work bridges the gap between thermal imaging and autonomous navigation, paving the way for safer, more reliable aerial systems in visually degraded conditions.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
FIReStereo: Forest InfraRed Stereo Dataset for UAS Depth Perception in Visually Degraded Environments
3 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Carnegie Mellon University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago