Dexian Zhang

Papers

Total Citations

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About

Dexian Zhang is a researcher in robotics and computer vision, with a focus on autonomous navigation and visual perception systems. His work addresses the challenge of enabling robots to navigate accurately using visual cues, particularly in environments where traditional GPS or odometry may be unreliable. In his highly cited 2010 paper, "Vision heading navigation based on navigation curve," Zhang introduced a novel method for correcting robot heading angles by selecting salient feature points with known relative positions to a target. This approach uses a navigation curve to determine precise pose adjustments, offering a computationally efficient solution for vision-based heading correction. While his citation count is modest at 13 for this work, the paper represents a foundational contribution to the field of vision-guided robotics, demonstrating a practical method for improving navigation accuracy without heavy sensor suites. Zhang's research is particularly relevant for applications in mobile robotics, autonomous vehicles, and industrial automation, where reliable visual navigation is critical. His work continues to influence subsequent studies in feature-based localization and path planning.