San Jose, CA, United States of America

Shane Murray

This inventor holds 8 USPTO granted patents and 4 published patent applications and 2 EPO patents. Top assignee: Nvidia Corporation. Active years: 2022-2026.

USPTO Granted Patents = 8 

% Patents Active = 75.0


Average Co-Inventor Count = 6.6

ph-index = 2

Forward Citations = 16(Granted Patents)


Location History:

  • San Jose, CA (US) (2022 - 2024)
  • Santa Clara, CA (US) (2024)

Company Filing History:


Years Active: 2022-2026

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8 patents (USPTO):Explore Patents

Title: Innovations by Shane Murray in Autonomous Machine Applications.

Introduction

Shane Murray is an accomplished inventor based in Santa Clara, CA. She has made significant contributions to the field of autonomous machine applications, particularly in the area of obstacle detection using advanced neural networks.

Latest Patents

One of her notable patents is titled "Deep neural network for detecting obstacle instances using radar sensors in autonomous machine applications." This innovative patent describes a method where a deep neural network, such as a convolutional neural network, is trained to identify both moving and stationary obstacles from RADAR data in a three-dimensional space. The process involves generating ground truth training data from LIDAR data, which is collected alongside RADAR data during specific time slices. The LIDAR data is annotated with labels that identify objects, which are then used to enhance the training of the neural network.

Career Highlights

Shane has achieved remarkable success in her career, with a total of 1 patent to her name. Her work has been pivotal in advancing the capabilities of autonomous machines, making them safer and more efficient in navigating complex environments.

Collaborations

Throughout her career, Shane has collaborated with notable professionals in her field, including Alexander A Popov and Nikolai Smolyanskiy. These collaborations have further enriched her research and development efforts.

Conclusion

Shane Murray's innovative work in the realm of autonomous machine applications showcases her expertise and dedication to advancing technology. Her contributions are paving the way for safer and more intelligent autonomous systems.

Profile summary based on public USPTO records.
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