San Jose, CA, United States of America

Kamuran Turkoglu

USPTO Granted Patents = 1 

Average Co-Inventor Count = 3.0

ph-index = 1


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations by Kamuran Turkoglu in Autonomous Vehicle Technology.

Introduction

Kamuran Turkoglu is an innovative inventor based in San Jose, CA. He has made significant contributions to the field of autonomous vehicle technology. His work focuses on enhancing the capabilities of vehicles through advanced systems and methods.

Latest Patents

Turkoglu holds a patent titled "Systematic approach towards system identification based yaw rate estimation with low-cost IMU+GPS units." This patent facilitates the estimation of dynamic attributes of autonomous vehicles. The invention includes a first vehicle equipped with an inertial measurement unit (IMU) that measures dynamic attributes, such as the rate of change of vehicle yaw angle. The measured data is correlated with input variables, like steering angle commands, to generate a predictive model for a second vehicle. This innovation allows the second vehicle to predict dynamic attributes without needing its own IMU, showcasing a significant advancement in vehicle technology.

Career Highlights

Throughout his career, Turkoglu has demonstrated a commitment to improving vehicle systems. His innovative approach has led to the development of practical solutions that enhance the functionality of autonomous vehicles. His work is recognized for its potential impact on the automotive industry.

Collaborations

Turkoglu has collaborated with notable professionals in his field, including Nirav Atul Shah and Kshitij Kumbar. These collaborations have contributed to the advancement of his research and the successful development of his patented technologies.

Conclusion

Kamuran Turkoglu's contributions to autonomous vehicle technology through his innovative patent highlight his role as a leading inventor in the field. His work continues to pave the way for advancements in vehicle systems and dynamic attribute estimation.

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