Maria Fernanda Monroy

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About

Maria Fernanda Monroy is a researcher specializing in computer vision and 3D scene reconstruction, with a particular focus on LiDAR-based perception systems. Her most-cited work, "3D Scene Reconstruction Based on a 2D Moving LiDAR" (2018, 14 citations), introduces an innovative approach to generating three-dimensional environmental models using a cost-effective, single-beam laser scanner in motion. This contribution addresses a critical challenge in autonomous navigation and robotics: achieving accurate spatial mapping with minimal hardware complexity. By demonstrating that a 2D LiDAR can effectively reconstruct complex scenes when combined with precise motion estimation, Monroy’s research has provided a practical foundation for low-cost 3D sensing solutions. Her work is particularly impactful for applications in mobile robotics, drone navigation, and augmented reality, where budget and weight constraints often limit sensor capabilities. While her citation count reflects the niche but growing interest in efficient LiDAR methods, Monroy’s study stands out for its methodological clarity and direct applicability to real-world systems. Her research continues to inspire engineers and researchers seeking to democratize 3D perception technology, making advanced spatial intelligence more accessible across industries.