Brasov, Romania

Bogdan Trasnea

This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Elektrobit Automotive Gmbh. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Bogdan Trasnea. Retrieved from https://idiyas.com/inventor/bogdan-trasnea

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


 

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: Bogdan Trasnea: Innovator in Autonomous Driving Technology

Introduction

Bogdan Trasnea is a prominent inventor based in Brașov, Romania. He has made significant contributions to the field of autonomous driving technology. His innovative work focuses on the training of convolutional neural networks, which are essential for the development of autonomous vehicles.

Latest Patents

Bogdan Trasnea holds 1 patent related to the training of a convolutional neural network. This patent discloses a method, computer program code, and apparatus for training a convolutional neural network specifically designed for autonomous driving systems. The invention involves selecting real-world driving data as training data and generating synthetic driving data. The convolutional neural network is trained using both types of data with the help of a genetic algorithm, enhancing the performance of autonomous or semi-autonomous vehicles.

Career Highlights

Currently, Bogdan Trasnea is employed at Elektrobit Automotive GmbH, where he continues to advance his research in autonomous driving technologies. His work is pivotal in the development of systems that improve vehicle autonomy and safety.

Collaborations

He collaborates with talented professionals in the field, including Sorin Mihai Grigorescu and Andrei Vasilcoi. Their combined expertise contributes to the innovative projects at Elektrobit Automotive GmbH.

Conclusion

Bogdan Trasnea is a key figure in the realm of autonomous driving technology, with a focus on convolutional neural networks. His contributions are shaping the future of vehicle autonomy and safety.

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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