Ann Arbor, MI, United States of America

Kp Unnikrishnan

USPTO Granted Patents = 1 

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: The Innovations of KP Unnikrishnan

Introduction

KP Unnikrishnan is a notable inventor based in Ann Arbor, MI, recognized for his innovative contributions in the field of vehicle technology. He holds a significant patent that showcases his expertise in utilizing advanced computational techniques for object detection.

Latest Patents

KP Unnikrishnan is credited with one remarkable patent titled "Vehicle Capsule Networks." This invention encompasses a sophisticated system that includes a computer equipped with a processor and memory. The memory is programmed to detect and localize objects by processing data from video cameras, utilizing a capsule network to enhance accuracy. Furthermore, the training of this capsule network involves determining routing coefficients using a scale-invariant normalization function, which advances the potential for computer vision applications in automotive technologies.

Career Highlights

Currently, KP Unnikrishnan is associated with Ford Global Technologies, LLC, where he applies his innovative thinking to develop cutting-edge technologies that enhance vehicle safety and efficiency. His role has allowed him to make noteworthy contributions to the automotive industry, emphasizing the importance of research and development in this rapidly evolving sector.

Collaborations

Throughout his career, KP Unnikrishnan has collaborated with talented individuals such as Zhen Zhao and Ashley Naomi Kleinhans. These partnerships have enriched his work environment and fostered a culture of innovation, allowing for the sharing of ideas and expertise that lead to groundbreaking advancements.

Conclusion

KP Unnikrishnan's dedication to innovation is evident through his patent and collaborations within Ford Global Technologies, LLC. His work, particularly in developing vehicle capsule networks, highlights the potential for technological advancements in object detection and localization within automotive applications. As he continues his journey, it will be exciting to see how his contributions shape the future of vehicle technology.

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