Diniya Jose

Papers

Total Citations

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About

Diniya Jose is a researcher whose work focuses on advancing indoor positioning and localization technologies—a critical area for robotics, navigation, and smart environments. Her most-cited paper, "Taylor series method in TDOA approach for indoor positioning system" (2019), tackles the challenge of achieving high-accuracy positioning using ultrasonic sensors, which are essential for mobile robot localization. By applying the Taylor series method to Time Difference of Arrival (TDOA) data, Jose’s work refines position estimation, offering a robust solution for environments where GPS is unreliable. With 4 citations, this contribution highlights her ability to bridge theoretical mathematics with practical engineering, addressing a persistent need in positioning science. Jose’s research underscores the importance of precise localization in enabling autonomous systems to navigate complex indoor spaces. Her work is particularly valuable for students and researchers exploring sensor fusion, algorithm optimization, and real-world deployment of positioning systems. By improving the accuracy and reliability of ultrasonic-based localization, Jose contributes to the broader field of robotics and IoT, where knowing the exact position of objects remains a fundamental challenge.