Weixian Qian

Nanjing University of Science and Technology

Papers

Total Citations

H-Index

About

Weixian Qian is a researcher specializing in computer vision, sensor calibration, and visual tracking systems. His work sits at the intersection of optical measurement technologies and intelligent visual processing, addressing practical challenges in how machines perceive and interpret spatial information. Qian's most recognized contribution is his 2018 work on calibrating single-point laser range finders with cameras, which has garnered 6 citations and tackles the critical challenge of accurately aligning disparate sensing modalities — a foundational problem in robotics and autonomous systems. Building on this, his 2019 paper introduced a novel approach to improving distance measurement accuracy using a single visual camera, accumulating 5 citations and demonstrating his continued focus on making precision measurement more accessible without requiring complex multi-sensor setups. Earlier in his career, Qian also explored robust visual tracking under challenging conditions, publishing work in 2015 on handling contiguous occlusion — a persistent difficulty in real-world tracking scenarios. Though his citation counts remain modest, Qian's research addresses genuinely practical problems in sensor fusion and visual measurement, making his work particularly relevant to students and engineers working in robotics, autonomous vehicles, and computer vision applications where accurate spatial perception is essential.