Pittsburgh, PA, United States of America

Randy Schur

This inventor holds 1 USPTO granted patent. Top assignee: Stack Av Co.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Randy Schur. Retrieved from https://idiyas.com/inventor/randy-schur

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

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Randy Schur and Autonomous-Vehicle Prediction Technology.

Introduction

Randy Schur is an inventor associated with Pittsburgh, Pennsylvania, and Stack AV Co. His work includes a patent concerning prediction modules for autonomous vehicles. The patent describes technology for anticipating how other road users may behave and using those predictions to guide a vehicle’s motion.

Latest Patents

Schur is associated with 1 patent, titled “Prediction Modules for Autonomous Vehicles.” The disclosed method uses sensor data to generate an objective prediction, including the probability that an actor will perform a driving operation. It also identifies behavioral features related to that operation and generates predictions for those features. A motion planner receives the predictions and uses them to determine responsive actions, which guide the autonomous vehicle’s movement.

Career Highlights

Schur’s listed patent work focuses on a key challenge in autonomous driving: predicting the behavior of actors on the road and translating those predictions into vehicle actions. He is associated with Stack AV Co.

Collaborations

The provided information names Thomas Petroff and Mark Ollis as Schur’s coworkers. It does not specify their roles in the patent or describe particular collaborations.

Conclusion

Randy Schur’s patent work addresses how autonomous vehicles can anticipate road-user behavior and respond through motion planning, reflecting an important area of innovation in self-driving technology.

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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