Papers
3
Total Citations
132
H-Index
2
About
Pan Wei is a researcher whose work sits at the dynamic intersection of autonomous systems, sensor fusion, and computer vision. His research focuses on enabling machines to perceive and navigate complex real-world environments with greater accuracy and safety — challenges central to modern robotics and intelligent transportation. Wei's most influential contribution is his 2018 work on LiDAR and camera detection fusion for real-time industrial multi-sensor collision avoidance systems, which has garnered an impressive 124 citations. This research addressed a critical need in advanced driver-assistance systems (ADAS), industrial automation, and robotics by combining the complementary strengths of LiDAR and camera sensors to reliably detect and avoid obstacles in sensitive environments. The practical significance of this work has made it a foundational reference in the sensor fusion community. Earlier, Wei contributed to the field of humanoid robotics with a 2016 study proposing a novel three-dimensional reconstruction method for binocular robots using target recognition, tackling persistent challenges of computational efficiency and accuracy in complex environments. Through his contributions, Pan Wei has helped advance the reliability and intelligence of autonomous systems, with his sensor fusion research in particular establishing meaningful impact across academia and industry alike.
Research Focus
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