Papers
5
Total Citations
91
H-Index
4
About
Qi Wang is a researcher working at the intersection of computer vision, robotics, and autonomous systems, with particular expertise in camera calibration, mobile robot navigation, and smart home technologies. His most influential contribution, a 2010 review on camera calibration (71 citations), provided a comprehensive survey of techniques for extracting intrinsic and extrinsic camera parameters — foundational knowledge that underpins applications in 3D reconstruction and robot navigation. This work established him as a valuable synthesizer of core computer vision methodology. Beyond calibration, Wang has made meaningful contributions to intelligent robotic systems for everyday environments. His research on misplaced item retrieval using mobile robots addresses a practical challenge faced particularly by elderly users, combining visual object recognition with natural human interfaces. He extended this work in 2019 by incorporating smart home sensor data and human trajectory analysis to improve search efficiency. His 2019 monocular road detection algorithm, fusing appearance and geometric cues, further demonstrates his commitment to robust autonomous navigation. More recently, his work on Kalman filter-based sensor attack reconstruction highlights a growing interest in robot security and reliability. Across these contributions, Wang's research consistently bridges theoretical computer vision with real-world robotic deployment.
Research Focus
Key Achievements
Top Papers
- 1Review on camera calibration71 citations · 2010
- 2Finding misplaced items using a mobile robot in a smart home environment8 citations · 2019
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