Qiong He

Papers

Total Citations

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About

Qiong He is a researcher in mobile robotics and autonomous navigation, with a particular focus on natural landmark extraction and environmental perception. Her most-cited work, “Natural Landmark Extraction Method for Mobile Robot” (2010), introduces a robust framework that integrates data clustering, filtering, and feature extraction using 2D laser rangefinders. A key contribution is the application of scale space theory combined with an Unscented Kalman Filter (UKF) to develop a curve-based estimator, enabling reliable landmark detection in unstructured environments. This work, cited 5 times, provides foundational techniques for improving robot localization and mapping. He’s research addresses critical challenges in real-world robotic perception, offering practical solutions for autonomous systems operating without artificial markers. Her contributions are valuable for students and engineers working on SLAM, sensor fusion, and mobile robot navigation, demonstrating how theoretical concepts from computer graphics can be effectively adapted for robotics.