SAN FRANCISCO, CA, United States of America

Morgan Wessel


Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Morgan Wessel: Innovator in Autonomous Vehicle Calibration

Introduction

Morgan Wessel is an accomplished inventor based in San Francisco, CA. He has made significant contributions to the field of autonomous vehicles, particularly in the area of sensor calibration. His innovative approach aims to enhance the safety and reliability of autonomous driving systems.

Latest Patents

Morgan Wessel holds a patent for a drive-through calibration process. This patent, titled "System, methods, and computer-readable media for a calibration check process of sensors on an autonomous vehicle (AV) via a drive-through environment mapped with a series of targets," outlines a method for checking the calibration of sensors on an AV. The process involves using a series of targets to ensure that the sensors are functioning correctly before the vehicle is deemed fit for autonomous driving. The calibration process collects data from the sensors based on exposure to these targets, which is crucial for maintaining the quality and safety of autonomous vehicles.

Career Highlights

Morgan is currently employed at Gm Cruise Holdings LLC, where he continues to develop innovative solutions for autonomous vehicle technology. His work focuses on enhancing the calibration processes that are vital for the safe operation of AVs. With a patent portfolio that includes 1 patent, he is recognized for his contributions to the field.

Collaborations

Morgan collaborates with talented professionals in his field, including Juan Fasola and Ankit Rohatgi. These partnerships foster an environment of innovation and creativity, driving advancements in autonomous vehicle technology.

Conclusion

Morgan Wessel is a key figure in the development of autonomous vehicle calibration processes. His innovative patent and work at Gm Cruise Holdings LLC highlight his commitment to improving the safety and reliability of autonomous driving systems.

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