Meiqi Pei
Papers
1
Total Citations
2
H-Index
1
About
Dr. Meiqi Pei is a rising researcher in the field of autonomous navigation and robotics, with a primary focus on **visual place recognition (VPR)** — a critical technology enabling vehicles and robots to identify previously visited locations under challenging conditions. Her most cited work, "Enhancing Visual Place Recognition with Multi-modal Features and Time-constrained Graph Attention Aggregation" (2024, 2 citations), addresses a fundamental limitation of current VPR systems: their reliance on single-modality RGB images, which are highly sensitive to drastic appearance and perspective changes. Dr. Pei’s key contribution lies in pioneering a **multi-modal feature fusion** approach that integrates diverse sensory data, coupled with a novel **time-constrained graph attention aggregation** mechanism. This innovation significantly improves robustness against environmental variability, offering a more reliable solution for real-world autonomous driving and robotic deployment. Though early in her career, her work has already garnered attention for tackling a persistent bottleneck in the field. By moving beyond conventional RGB-only methods, Dr. Pei is helping to pave the way for more resilient and context-aware navigation systems, marking her as a promising voice in next-generation autonomous technology.
Research Focus
Key Achievements
Top Papers
- 1