Zhanling Zhang

Papers

Total Citations

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About

Zhanling Zhang is a researcher in computer vision and robotics, with a focus on stereo vision and obstacle detection systems. Their most cited work, "Stereo Vision Robot Obstacle Detection Based on the SIFT" (2010), introduces a method for binocular vision obstacle detection using the Scale-Invariant Feature Transform (SIFT) matching algorithm. This contribution streamlines depth measurement by eliminating the need to reconstruct three-dimensional coordinates in a world coordinate system, offering a more efficient approach for robotic navigation. With 7 citations, this paper demonstrates early impact in the field of autonomous systems. Zhang’s work is particularly notable for its practical application in robot obstacle avoidance, bridging theoretical computer vision with real-world robotics challenges. Their research contributes to advancing safe and reliable autonomous navigation, a critical area in modern robotics and artificial intelligence.