Santa Clara, CA, United States of America

Ayon Sen

USPTO Granted Patents = 2 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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2 patents (USPTO):Explore Patents

Title: Ayon Sen: Innovator in Sensor Calibration for Autonomous Systems

Introduction

Ayon Sen is a prominent inventor based in Santa Clara, CA, known for his contributions to the field of sensor calibration for autonomous systems. With a total of 2 patents, Ayon has made significant strides in enhancing the functionality and accuracy of autonomous technologies.

Latest Patents

Ayon's latest patents focus on sensor calibration for autonomous systems and applications. In various examples, he describes systems and methods that utilize image feature correspondences between camera images, along with the assumption that these image features are locally planar. This innovative approach aims to determine parameters for calibrating an image sensor with a LiDAR sensor and/or another image sensor. Ayon constructs an optimization problem that minimizes a geometric loss function, encoding the notion that corresponding image features represent views of the same point on a locally planar surface, such as a surfel or mesh constructed from LiDAR data. His work in this area is crucial for improving the accuracy of sensor calibration processes in autonomous systems.

Career Highlights

Ayon Sen is currently employed at Nvidia Corporation, where he applies his expertise in sensor calibration to advance the company's autonomous systems technologies. His work is instrumental in developing innovative solutions that enhance the performance of autonomous vehicles and other semi-autonomous applications.

Collaborations

Ayon collaborates with notable colleagues, including Gang Pan and Cheng-Chieh Yang, to further his research and development efforts in sensor calibration and autonomous systems.

Conclusion

Ayon Sen's contributions to sensor calibration for autonomous systems highlight his innovative spirit and dedication to advancing technology. His work at Nvidia Corporation and his patented inventions are paving the way for more accurate and efficient autonomous systems in the future.

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