Elizabeth V. Cabrera-Avila

Universidade Federal do Rio Grande do Norte

Papers

Total Citations

H-Index

About

Dr. Elizabeth V. Cabrera-Avila is a leading researcher in robotics perception and computer vision, with a focus on advancing visual mapping and sensor accuracy for autonomous systems. Her work centers on developing robust methods for camera localization and 3D environmental understanding, directly impacting the fields of Visual Odometry and SLAM. Her most-cited paper, "Smart Artificial Markers for Accurate Visual Mapping and Localization" (2021, 26 citations), introduces a novel approach to enhance the precision of artificial marker mapping, enabling more reliable localization in large-scale indoor and outdoor environments. Complementing this, her 2018 study, "A Versatile Method for Depth Data Error Estimation in RGB-D Sensors" (23 citations), provides a critical framework for quantifying and correcting depth inaccuracies in sensors using structured light, time-of-flight, and stereo techniques. By leveraging a common checkerboard pattern to compare real and sensor-derived point clouds, Dr. Cabrera-Avila offers a practical, versatile tool for improving sensor fidelity. Her contributions are foundational for researchers and engineers developing next-generation autonomous navigation and mapping systems, bridging the gap between theoretical accuracy and real-world application.