Weijia Meng
Papers
1
Total Citations
11
H-Index
1
About
Dr. Weijia Meng is a leading researcher in intelligent storage systems, with a focus on integrating radio-frequency identification (RFID) and computer vision (CV) technologies to enhance spatial perception and automation. Their most-cited work, "Spatial Perception of Tagged Cargo Using Fused RFID and CV Data in Intelligent Storage" (2022), addresses critical limitations in existing sensing methods by proposing a novel fusion framework that combines the strengths of both technologies for more accurate cargo localization and monitoring. This contribution has garnered 11 citations, reflecting its growing influence in the field of smart logistics and warehouse automation. Dr. Meng’s research is pivotal in advancing the efficiency and reliability of intelligent storage systems, offering practical solutions for real-world industrial applications. Their work not only bridges the gap between theoretical sensing models and practical deployment but also sets a foundation for future innovations in automated inventory management. For students and researchers exploring the intersection of IoT, computer vision, and supply chain technology, Dr. Meng’s contributions offer valuable insights into building more responsive and intelligent storage environments.
Research Focus
Key Achievements
Top Papers
- 1