Erliang Yeh

Papers

Total Citations

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About

Erliang Yeh is a researcher whose work lies at the intersection of computer vision and mobile robotics, with a particular focus on autonomous navigation and landmark recognition. His most-cited paper, "Toward selecting and recognizing natural landmarks" (2002, 34 citations), addresses a fundamental challenge in robotics: how to automatically choose the most reliable 3D features from an environment for navigation. Yeh’s key contribution was developing a method to select landmarks that are both robustly recognizable from noisy monocular images and minimally confusable with other features, thereby improving the accuracy and reliability of robot localization. This work is foundational for systems that must operate in unstructured, natural environments without pre-mapped markers. While his citation count is modest, the conceptual impact of his research is significant, as it tackles a core problem in autonomous navigation—feature selection under uncertainty. Yeh’s approach bridges computer vision and robotics, offering practical insights for designing more resilient perception systems. His work remains relevant for researchers developing vision-based navigation for field robots, drones, and autonomous vehicles operating in complex, real-world settings.