Las Vegas, NV, United States of America

Derek Michael Petersen

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Lyft, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Derek Michael Petersen. Retrieved from https://idiyas.com/inventor/derek-michael-petersen

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

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Derek Michael Petersen and Predictive Experiences in Autonomous Vehicles.

Introduction

Derek Michael Petersen is an inventor based in Las Vegas, Nevada, and is associated with Lyft, Inc. His patent work addresses how autonomous vehicles can adapt passenger experiences to individual preferences.

Latest Patents

Petersen is named on one patent, 1 patent: “Systems and Methods for Predictively Managing User Experiences in Autonomous Vehicles.” The disclosed method monitors communications between a passenger and a remote agent during an autonomous-vehicle ride. It identifies preferences from a passenger’s request connected to a ride event, confirms that the request is being fulfilled, and uses the request to predict preferences for future rides. During a later ride, the vehicle can apply those predicted preferences when the relevant event occurs, changing aspects of the passenger’s experience.

Career Highlights

Petersen’s listed patent reflects work on personalized passenger experiences and predictive preference management in autonomous vehicles. He is associated with Lyft, Inc.

Collaborations

Petersen’s listed coworkers include Jennie Arielle Braunstein and Timothy Tay Chao. The patent’s disclosed approach involves coordination between passengers, remote agents, and in-vehicle technology.

Conclusion

Derek Michael Petersen’s patent describes a way for autonomous vehicles to learn from passenger requests and apply those preferences during future rides.

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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