Javier Rivera-Castillo

Papers

Total Citations

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About

Javier Rivera-Castillo is a researcher specializing in machine vision, artificial intelligence, and optoelectronic sensor fusion. His work focuses on enhancing the precision and reliability of optical scanning systems through the integration of AI-driven methods and advanced sensor technologies. In his most cited paper, "Machine vision supported by artificial intelligence" (2014, 8 citations), Rivera-Castillo evaluates various AI techniques for rotatory mirror scanners, providing critical insights for selecting optimal methods in precise optical systems. He further advances the field by exploring the fusion of photodiodes and charge-coupled devices (CCDs) for spatial coordinate measurement, with applications spanning robot navigation, medical scanning, and structural monitoring (2015, 4 citations). His subsequent studies on optoelectronic device fusion (2016, 4 citations; 2019, 2 citations) underscore the importance of integrating hardware and digital processing to automate and improve machine vision outputs. Though his citation counts are modest, Rivera-Castillo’s contributions are foundational for researchers developing cost-effective, high-accuracy vision systems. His work bridges theoretical AI evaluation with practical sensor fusion, offering a roadmap for building robust machine vision platforms in real-world engineering contexts.