Papers

1

Total Citations

26

H-Index

1

About

Dr. Maolin Xu is a leading researcher in robotic perception, with a primary focus on multi-sensor fusion and high-precision calibration. His work addresses a critical bottleneck in autonomous systems: the accurate alignment of cameras and lidar, which is essential for reliable environmental sensing. Dr. Xu’s most notable contribution is the development of a novel, high-precision external parameter calibration method, published in 2023. By designing an auxiliary calibration device with distinctive geometric features, he overcame common challenges of low accuracy and complex procedures in sensor fusion. This work, which has already garnered 26 citations in a short period, provides a practical and robust solution for integrating vision and depth data. Dr. Xu’s research is directly applicable to advancing robotics, autonomous driving, and 3D mapping, making him a key figure in the push toward more perceptive and reliable intelligent systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
26
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
High-Precision External Parameter Calibration Method for Camera and Lidar Based on a Calibration Device
26 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Science and Technology Liaoning

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago