Peiyu Chen
Papers
1
Total Citations
54
H-Index
1
About
Peiyu Chen is a leading researcher in robotics and autonomous systems, specializing in robust state estimation and visual-inertial odometry (VIO) for challenging environments. His major contribution, the PL-EVIO framework, integrates monocular event-based cameras with point and line features, enabling reliable pose estimation under aggressive motion and low-light conditions—scenarios where traditional cameras fail. This work, published in 2023, has already garnered 54 citations, reflecting its immediate impact on the field. Chen’s research addresses critical gaps in real-time onboard feedback control, pushing the boundaries of drone and mobile robot autonomy. His innovative fusion of event, image, and inertial measurements has set a new standard for resilience in dynamic settings, earning recognition among peers for its practical applicability. Chen’s work is essential reading for students and researchers tackling high-speed or visually degraded environments, offering a robust foundation for next-generation autonomous navigation systems.
Research Focus
Key Achievements
Top Papers
- 1