Santa Clara, CA, United States of America

Trung Pham


Average Co-Inventor Count = 6.2

ph-index = 2

Forward Citations = 29(Granted Patents)


Years Active: 2022-2025

where 'Filed Patents' based on already Granted Patents

8 patents (USPTO):

Title: Innovations of Trung Pham in Autonomous Machine Applications

Introduction

Trung Pham is a notable inventor based in Santa Clara, CA, who has made significant contributions to the field of autonomous machine applications. With a total of eight patents to his name, he has focused on enhancing the capabilities of vehicles through advanced perception technologies.

Latest Patents

Trung Pham's latest patents include groundbreaking work on intersection detection and classification in autonomous machine applications. One of his patents describes a method where live perception from vehicle sensors is utilized to detect and classify intersections in real-time. This involves training a deep neural network (DNN) to compute various outputs, such as bounding box coordinates for intersections and intersection coverage maps. These outputs are then processed to determine the final locations and attributes of detected intersections. Another patent focuses on intersection region detection and classification, where the DNN computes signed distance functions that correspond to the boundaries of intersection contention areas. This technology aids autonomous vehicles in navigating intersections according to traffic rules and priorities.

Career Highlights

Trung Pham is currently employed at Nvidia Corporation, a leading company in the field of artificial intelligence and graphics processing. His work at Nvidia has positioned him at the forefront of innovations in autonomous vehicle technology.

Collaborations

Some of Trung Pham's notable coworkers include Berta Rodriguez Hervas and David Nister, who contribute to the collaborative environment at Nvidia Corporation.

Conclusion

Trung Pham's contributions to the field of autonomous machine applications through his innovative patents demonstrate his expertise and commitment to advancing vehicle technology. His work is paving the way for safer and more efficient navigation systems in autonomous vehicles.

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