Wan Chen

Wuhan University of Technology

Papers

1

Total Citations

10

H-Index

1

About

Dr. Wan Chen is a leading researcher in multi-modal sensor fusion and intelligent vehicle perception, with a focus on advancing autonomous driving and robotics technologies. Their most-cited work, the 2023 review "External Extrinsic Calibration of Multi-Modal Imaging Sensors: A Review," has garnered 10 citations and provides a comprehensive synthesis of calibration techniques essential for integrating data from cameras, LiDAR, and radar in complex environments. This contribution addresses a critical bottleneck in multi-sensor systems, enabling more accurate environmental sensing for intelligent vehicles. Dr. Chen’s research directly supports the development of robust perception systems in autonomous driving and robotics, where precise sensor alignment is vital for safety and reliability. By systematically analyzing calibration methods, their work has become a foundational resource for engineers and researchers tackling real-world deployment challenges. With a growing citation impact, Dr. Chen’s expertise in sensor fusion and calibration continues to shape the future of intelligent transportation and robotic perception.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
External Extrinsic Calibration of Multi-Modal Imaging Sensors: A Review
10 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Wuhan University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago