Chenwei Lyu
Papers
2
Total Citations
25
H-Index
2
About
Chenwei Lyu is a rising researcher in the field of visual localization and cross-modal perception, with a focus on enabling intelligent robots and autonomous systems to navigate reliably in GNSS-denied environments. His core research integrates computer vision and 3D geospatial data, particularly through attention-enhanced cross-modal localization between spherical images and point clouds. Lyu’s major contributions include developing novel frameworks that allow single-modal queries—such as a 2D image—to localize within 3D LiDAR maps, overcoming traditional modality restrictions that limit place recognition systems. His most-cited work (2023) has already garnered 16 citations, highlighting its immediate impact on SLAM and autonomous navigation communities. By addressing real-world challenges like illumination and weather robustness, Lyu’s research bridges the gap between camera-based and LiDAR-based localization, offering practical solutions for robots operating in dynamic outdoor environments. His work is particularly notable for advancing cross-modal 2D-3D localization, a critical step toward more flexible and resilient autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Cross-Modal 2D-3D Localization with Single-Modal Query9 citations · 2023