Carolina Raposo

University of Coimbra, Institute for Systems Engineering and Computers

Papers

Total Citations

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About

Carolina Raposo is a leading researcher in computer vision and robotics, specializing in sensor calibration and motion estimation. Her work focuses on developing robust algorithms for odometry and multi-modal sensor fusion, which are critical for autonomous systems and 3D perception. Her most influential contribution, “Plane-based Odometry using an RGB-D Camera” (2013, 45 citations), introduced a novel method that leverages plane primitives to estimate relative motion between successive RGB-D frames, offering a reliable alternative to traditional feature-based approaches. This work has been foundational for applications in robot navigation and augmented reality. Raposo also advanced the field of sensor integration with her paper “Extrinsic calibration of multi-modal sensor arrangements with non-overlapping field-of-view” (2016, 13 citations), which addresses the challenging problem of calibrating cameras and LiDARs or other sensors that do not share a common view—a key enabler for autonomous vehicles and mobile robotics. Her research demonstrates a consistent focus on practical, geometry-driven solutions that enhance the accuracy and robustness of perception systems, making her work highly cited and influential among peers in robotics and computer vision.