Papers
9
Total Citations
105
H-Index
6
About
Zuoliang Cao is a pioneering researcher in mobile robotics, specializing in omnidirectional vision localization, sensor fusion, and autonomous navigation. His most influential work, "Adaptive Extended Kalman Filter (AEKF)-Based Mobile Robot Localization Using Sonar" (2000, 39 citations), introduced an adaptive filtering approach that significantly improved indoor robot positioning accuracy using sonar sensors. Cao’s major contributions center on developing omnidirectional vision systems for mobile robots, leveraging fisheye lenses to achieve panoramic sight in a single visual scene. His 1986 paper on "Omnidirectional Dynamic Vision Positioning" (13 citations) laid early groundwork for this technique, while subsequent works like "Omni-Directional Vision Localization Based on Particle Filter" (2007, 21 citations) advanced robust tracking through probabilistic methods. Notably, Cao integrated DSP-based embedded trackers for outdoor multi-object tracking (2011, 6 citations) and proposed novel fisheye lens calibration methods using SVM and laser techniques (2010, 3 citations). His research has been instrumental in enabling autonomous guided vehicles (AGVs) and laboratory platforms like TUT-I, demonstrating teach-and-playback operations. With over 100 cumulative citations, Cao’s work continues to influence modern robotics, particularly in vision-based navigation and sensor fusion for dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Omni-directional Vision Localization Based on Particle Filter21 citations · 2007
- 3Omnidirectional Dynamic Vision Positioning For A Mobile Robot13 citations · 1986
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- 8Fisheye lens camera system calibration and localization error analysis3 citations · 2010
- 9Mobile Robot Navigation Based on Multisensory Fusion2 citations · 2005