Daly City, CA, United States of America

Miguel Alexander Peake

USPTO Granted Patents = 1 

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 7(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Miguel Alexander Peake: Innovator in Autonomous Driving Technology

Introduction

Miguel Alexander Peake is a notable inventor based in Daly City, California. He has made significant contributions to the field of autonomous driving technology. His innovative work focuses on generating training data for lidar systems using simulated vehicles in virtual environments.

Latest Patents

Peake holds a patent for "Automatically generating training data for a lidar using simulated vehicles in virtual space." This patent describes automated training dataset generators that create feature training datasets for real-world autonomous driving applications based on virtual environments. The feature training datasets are essential for training machine learning models that control autonomous vehicles. The patent also discusses the use of an occupancy grid generator to create an occupancy grid that represents the environment of an autonomous vehicle. This grid is crucial for controlling the vehicle as it navigates through its surroundings. Additionally, the patent includes a sensor parameter optimizer that determines optimal parameter settings for real-world sensors used in autonomous driving applications.

Career Highlights

Peake is currently employed at Luminar, LLC, a company known for its advancements in lidar technology and autonomous driving solutions. His work at Luminar has positioned him as a key player in the development of innovative technologies that enhance the safety and efficiency of autonomous vehicles.

Collaborations

Peake collaborates with talented individuals in the field, including his coworker Benjamin Englard. Their combined expertise contributes to the ongoing advancements in autonomous driving technology.

Conclusion

Miguel Alexander Peake is a pioneering inventor whose work in generating training data for autonomous driving systems is shaping the future of transportation. His contributions to the field are invaluable, and his innovative spirit continues to drive advancements in technology.

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