Bavaria, Germany

Vincent Aravantinos

This inventor holds 1 USPTO granted patent. Top assignee: Argo Ai Gmbh. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Vincent Aravantinos. Retrieved from https://idiyas.com/inventor/vincent-aravantinos

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


% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Innovations in Autonomous Vehicle Motion Planning by Vincent Aravantinos

Introduction

Vincent Aravantinos is an accomplished inventor based in Bavaria, Germany. He has made significant contributions to the field of autonomous vehicle technology. His innovative work focuses on enhancing the safety and efficiency of motion planning in autonomous vehicles.

Latest Patents

Vincent Aravantinos holds a patent for a groundbreaking invention titled "Rare event simulation in autonomous vehicle motion planning." This patent discloses methods for identifying corner case simulation scenarios that are essential for training an autonomous vehicle motion planning model. The system he developed selects scenes that include data captured by vehicles over time, identifying safety threshold violations and generating simulated scenes to improve training models.

Career Highlights

Aravantinos is currently employed at Argo AI GmbH, where he applies his expertise in autonomous vehicle technology. His work is pivotal in advancing the capabilities of motion planning systems, ensuring that they can handle a variety of real-world scenarios effectively.

Collaborations

Vincent collaborates with Thomas Muehlenstaedt, leveraging their combined knowledge to push the boundaries of autonomous vehicle technology.

Conclusion

Vincent Aravantinos is a key figure in the development of innovative solutions for autonomous vehicle motion planning. His contributions are shaping the future of transportation safety and efficiency.

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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