Cupertino, CA, United States of America

Vidya Elangovan


Average Co-Inventor Count = 4.0

ph-index = 2

Forward Citations = 12(Granted Patents)


Company Filing History:


Years Active: 2021

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3 patents (USPTO):Explore Patents

Title: Innovations by Vidya Elangovan

Introduction

Vidya Elangovan is an accomplished inventor based in Cupertino, CA. She has made significant contributions to the field of technology, particularly in the realm of augmented reality and image processing. With a total of 3 patents to her name, her work is paving the way for advancements in vehicle navigation and imaging systems.

Latest Patents

One of her latest patents is titled "Dynamic seam adjustment of image overlap zones from multi-camera source images." This innovation focuses on enhancing the accuracy of a vehicle's surroundings presentation by combining images from multiple cameras. The technology ensures that when an object is visible to at least two cameras, the resulting synthetic top-down view presents the object prominently, avoiding any seams that could obscure it.

Another notable patent is "Sensor fusion methods for augmented reality navigation." This invention aims to provide an augmented reality navigation display in vehicles. It involves rendering navigation route indicators over a camera video stream, utilizing visual tracking and navigation sensor data to create a more stable and accurate representation of the route.

Career Highlights

Vidya Elangovan is currently employed at Nio USA, Inc., where she continues to innovate and develop cutting-edge technologies. Her work is instrumental in advancing the capabilities of augmented reality in automotive applications.

Collaborations

Throughout her career, Vidya has collaborated with talented individuals such as Prashant Jain and Anthony Tao Liang. These collaborations have contributed to the successful development of her innovative projects.

Conclusion

Vidya Elangovan's contributions to technology through her patents demonstrate her expertise and commitment to innovation. Her work in augmented reality and image processing is shaping the future of vehicle navigation systems.

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