Prof chengkai tang | Navigation and positioning | Best Researcher Award

Education 🎓

Chengkai Tang has an extensive academic background in the field of navigation and positioning, having completed advanced studies and training in this domain. His educational journey has equipped him with the expertise to contribute groundbreaking research and guide the next generation of researchers.

Experience 🏅

Chengkai has over 10 years of experience in navigation and positioning research. He has led major projects for the National Natural Science Foundation of China, securing more than $4 million in research funding. He also collaborates with industry partners like Baidu to develop cutting-edge positioning systems for smart vehicles.

Research Interests 🔍

His research focuses on navigation, positioning technologies, and distributed information fusion, with an emphasis on overcoming real-time challenges in cooperative positioning. He explores the integration of visual, satellite, and inertial navigation systems to enhance accuracy and reliability.

Awards 🏆

Chengkai has been recognized as a Senior Member of IEEE and has received several grants from prestigious foundations like the National Natural Science Foundation of China. His work has earned significant recognition for its impact on navigation and positioning technologies.

Publications Top Notes 📚

Tang, C., Wang, C., Zhang, L., et al., “Geometric-Manifold-Assisted Distributed Navigation Probabilistic Information Fusion Cooperative Positioning Algorithm,” Remote Sensing, 2021. Cited by 20. Read here

Tang, C., Yu, B., Zhang, L., et al., “Factor Graph Weight Particles Aided Distributed Underwater Cooperative Positioning Algorithm,” Telecommunication Systems, 2022. Cited by 10. Read here

Cheng, Z., Zhang, Y., Tang, C., “Swin-Depth: Using Transformers and Multi-Scale Fusion for Monocular-Based Depth Estimation,” IEEE Sensors Journal, 2021. Cited by 15. Read here

Cheng, Z., Zhang, Y., Tang, C., “MLP-Based Architecture and Multi-Scale Inverse Attention for Monocular Sensors Depth Prediction,” IEEE Sensors Journal, 2022. Cited by 12. Read here

Abdulkadhim, F., Zhang, Y., Tang, C., “Factor Graph and Fisher Information Matrix Assisted Indoor Cooperative Positioning Algorithm,” Computers & Electrical Engineering, 2021. Cited by 8. Read here