V. Jaime Delgado

Universidade Estadual de Campinas (UNICAMP)

Papers

Total Citations

H-Index

About

V. Jaime Delgado is a researcher whose work lies at the intersection of computer vision and mobile robotics, with a particular focus on visual odometry and autonomous navigation. His most notable contribution, the 2011 paper "Visual odometry in mobile robots," presents a practical application of stereoscopic camera systems for reconstructing the path of a mobile robot. In this work, Delgado leverages the Scale Invariant Feature Transform (SIFT) algorithm to process images and locate keypoints in 3D Euclidean coordinate space, enabling robust trajectory estimation. While his citation count of 4 for this paper reflects a niche but specialized audience, the work represents a foundational step in applying feature-based methods to real-world robotic localization. Delgado’s research bridges the gap between theoretical computer vision and practical robotics, offering insights into how mobile systems can perceive and navigate their environments. His contributions are particularly valuable for students and researchers exploring low-cost, vision-based navigation solutions, demonstrating how classical algorithms like SIFT can be adapted for autonomous systems in constrained settings.