Zhenwei Chen
Papers
1
Total Citations
10
H-Index
1
About
Zhenwei Chen is a leading researcher in multi-sensor fusion and intelligent vehicle perception, with a primary focus on advancing autonomous driving and robotics technologies. His most impactful contribution is the comprehensive review "External Extrinsic Calibration of Multi-Modal Imaging Sensors: A Review" (2023, 10 citations), which systematically addresses the critical challenge of accurately calibrating heterogeneous sensors—such as cameras, LiDAR, and radar—for robust environmental sensing. This work has become a foundational reference for researchers and engineers developing sensor fusion pipelines, directly supporting safer and more reliable autonomous systems. Chen’s research bridges the gap between theoretical calibration methods and practical deployment in intelligent transportation, offering clear frameworks for multi-modal data integration. His contributions are particularly notable for their emphasis on real-world applicability, helping to standardize calibration practices across the field. With growing citation impact, Chen is establishing himself as a key voice in multi-sensor perception, and his work continues to influence both academic research and industry innovation in autonomous driving and robotics.
Research Focus
Key Achievements
Top Papers
- 1External Extrinsic Calibration of Multi-Modal Imaging Sensors: A Review10 citations · 2023