Ann Arbor, MI, United States of America

Michel Cordonnier

This inventor holds 1 USPTO granted patent. Top assignee: Ford Global Technolgoies, LLC. Active years: 2019.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Michel Cordonnier. Retrieved from https://idiyas.com/inventor/michel-cordonnier

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: Michel Cordonnier: Innovator in Autonomous Vehicle Technology

Introduction

Michel Cordonnier is a prominent inventor based in Ann Arbor, MI (US). He has made significant contributions to the field of autonomous vehicle technology. His innovative work focuses on enhancing the capabilities of vehicles to operate in both autonomous and occupant piloted modes.

Latest Patents

Cordonnier holds a patent for "Depth map estimation with stereo images." This patent outlines a system where vehicles can utilize an array of sensors, including stereo cameras and 3D sensors, to navigate effectively. The technology allows for real-time estimation of depth maps from stereo images, facilitating safer and more efficient operation in both autonomous and manual driving scenarios. He has 1 patent to his name.

Career Highlights

Michel Cordonnier is currently employed at Ford Global Technologies, LLC. His role involves developing cutting-edge technologies that enhance vehicle automation and safety. His expertise in deep convolutional neural networks plays a crucial role in the advancement of real-time depth estimation for vehicles.

Collaborations

Cordonnier has collaborated with notable colleagues, including Bryan Roger Goodman and Vahid Taimouri. Their combined efforts contribute to the innovative projects at Ford, pushing the boundaries of what is possible in vehicle technology.

Conclusion

Michel Cordonnier's work in autonomous vehicle technology exemplifies the innovative spirit of modern engineering. His contributions are paving the way for safer and more efficient transportation solutions.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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