Fupeng Chen
Papers
1
Total Citations
4
H-Index
1
About
Dr. Fupeng Chen is a leading researcher in computer vision and embedded systems, with a primary focus on stereo matching algorithms and their efficient hardware implementation. His work addresses the critical challenge of balancing computational complexity and accuracy for real-time applications in robotics and autonomous driving. Chen’s most notable contribution is the development of **CLIF (Cross-Layer Information Fusion)**, a novel framework that enhances stereo matching performance by integrating multi-level feature information, significantly improving depth estimation accuracy while maintaining low computational overhead. This work, published in 2021, has already garnered 4 citations, reflecting its growing influence in the field. Chen’s research is distinguished by its emphasis on bridging algorithmic innovation with practical hardware deployment, ensuring that advanced vision techniques can be realized on resource-constrained platforms. His contributions are pivotal for advancing intelligent systems that require reliable, real-time 3D perception, making his work essential reading for students and researchers exploring the intersection of computer vision and embedded system design.
Research Focus
Key Achievements
Top Papers
- 1