San Jose, CA, United States of America

Dylan Doblar

USPTO Granted Patents = 1 

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):

Title: Innovations of Dylan Doblar in Scene Illumination Detection

Introduction

Dylan Doblar is an innovative inventor based in San Jose, CA. He has made significant contributions to the field of autonomous systems through his patented technology. His work focuses on enhancing the functionality of machines by improving their ability to detect and respond to varying illumination levels in their environment.

Latest Patents

Dylan holds a patent for "Scene illumination detection for autonomous systems and applications." This patent describes a method for determining a first illumination level in a specific area using a first illumination detector. Additionally, it outlines how a second illumination level can be determined using a second illumination detector. By analyzing both illumination levels, the system can ascertain the scene illumination state and control the machine's lights accordingly. This innovation is crucial for the development of more responsive and intelligent autonomous systems.

Career Highlights

Dylan is currently employed at Nvidia Corporation, a leading technology company known for its advancements in graphics processing and artificial intelligence. His role at Nvidia allows him to work on cutting-edge technologies that push the boundaries of what is possible in autonomous systems. With a total of 1 patent, Dylan's contributions are already making a notable impact in his field.

Collaborations

Dylan collaborates with talented individuals such as Keerthi Raj Nagaraja and Arjun Gupta. Their combined expertise fosters an environment of innovation and creativity, leading to the development of groundbreaking technologies.

Conclusion

Dylan Doblar's work in scene illumination detection exemplifies the potential of innovative thinking in the realm of autonomous systems. His contributions at Nvidia Corporation and his patented technology are paving the way for advancements that enhance machine intelligence and functionality.

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