Jorge Jimenez

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Total Citations

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About

Jorge Jimenez is a researcher specializing in autonomous underwater vehicle navigation and multitarget tracking, with a particular focus on acoustic sensing and estimation in challenging maritime environments. His most-cited work, "Improved Multitarget Tracking in the Presence of Port–Starboard Measurement Ambiguity Using the Bayes Factor" (2022, 4 citations), addresses a critical problem in underwater surveillance: accurately estimating the positions of surface ships from an unmanned underwater vehicle (UUV) using relative angle measurements, despite the inherent port–starboard ambiguity and the intermittent appearance and disappearance of targets. Jimenez’s key contribution lies in applying the Bayes factor to resolve this ambiguity, enhancing tracking robustness and reliability—a significant step forward for autonomous naval operations and maritime security. His work bridges theoretical estimation theory with practical UUV applications, demonstrating impact in a niche but vital area of sensor fusion and target tracking. While his citation count is modest, the specificity and technical depth of his research highlight its relevance to defense and ocean engineering communities. Jimenez’s achievements underscore his role in advancing autonomous systems for real-world, sensor-limited environments.