Santa Clara, CA, United States of America

Pritish Tupekar

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Nvidia Corporation. Active years: 2026.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Pritish Tupekar: Innovator in Autonomous Systems

Introduction

Pritish Tupekar is a notable inventor based in Santa Clara, CA (US). He has made significant contributions to the field of autonomous systems, particularly in object detection technologies. His innovative work has led to the development of a patent that addresses critical safety aspects in autonomous operations.

Latest Patents

Pritish Tupekar holds a patent titled "Determining perception zones for object detection in autonomous systems and applications." This patent describes techniques for determining perception zones that are essential for object detection. The system utilizes dynamic models associated with both the ego-machine and the object, along with potential interactions between them, to establish a perception zone. This innovation is crucial for validating perception systems and determining safety-critical errors based on the object's location within the perception zone.

Career Highlights

Pritish Tupekar is currently employed at Nvidia Corporation, a leading technology company known for its advancements in graphics processing and artificial intelligence. His work at Nvidia focuses on enhancing the capabilities of autonomous systems through innovative detection methods.

Collaborations

Pritish collaborates with Sever Ioan Topan, a fellow innovator at Nvidia Corporation. Their combined expertise contributes to the development of cutting-edge technologies in the field of autonomous systems.

Conclusion

Pritish Tupekar's contributions to the field of autonomous systems through his patent and work at Nvidia Corporation highlight his role as a key innovator. His advancements in object detection are paving the way for safer and more efficient autonomous technologies.

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