Menlo Park, CA, United States of America

Tyler Reid


Average Co-Inventor Count = 5.1

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2021-2023

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3 patents (USPTO):Explore Patents

Title: Innovations by Tyler Reid in Vehicle Localization

Introduction

Tyler Reid is an accomplished inventor based in Menlo Park, CA. He has made significant contributions to the field of vehicle localization, holding a total of 3 patents. His work focuses on enhancing the accuracy and efficiency of localization systems through advanced algorithms.

Latest Patents

Tyler's latest patents include innovative localization systems and methods. One notable implementation involves a method that receives a camera image from a vehicle camera and cleans the image using a VAE-GAN (variational autoencoder combined with a generative adversarial network) algorithm. The method further receives a vector map related to an area proximate to the vehicle and generates a synthetic image based on this vector map. Ultimately, the method localizes the vehicle based on the cleaned camera image and the synthetic image.

Another patent focuses on vehicle localization systems and methods, showcasing similar techniques to enhance the vehicle's ability to determine its location accurately. These advancements are crucial for the development of autonomous vehicles and improved navigation systems.

Career Highlights

Tyler Reid is currently employed at Ford Global Technologies, LLC, where he continues to innovate in the field of vehicle technology. His expertise in localization systems has positioned him as a key player in the advancement of automotive technologies.

Collaborations

Tyler collaborates with talented individuals such as Sarah Houts and Praveen Narayanan, contributing to a dynamic team focused on pushing the boundaries of vehicle technology.

Conclusion

Tyler Reid's contributions to vehicle localization through his innovative patents demonstrate his commitment to advancing automotive technology. His work is paving the way for more accurate and efficient navigation systems in vehicles.

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