Bavaria, Germany

Jelena Frtunikj

USPTO Granted Patents = 6 

Average Co-Inventor Count = 2.4

ph-index = 1

Forward Citations = 4(Granted Patents)


Location History:

  • Bavaria, DE (2023)
  • Munich, DE (2023)

Company Filing History:


Years Active: 2023-2025

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6 patents (USPTO):Explore Patents

Title: Jelena Frtunikj: Innovator in Image Classification and Autonomous Vehicle Optimization

Introduction

Jelena Frtunikj is a prominent inventor based in Bavaria, Germany. She has made significant contributions to the fields of image classification and autonomous vehicle technology. With a total of 6 patents to her name, her work is at the forefront of innovation in these areas.

Latest Patents

One of her latest patents is titled "Systems and methods for image classification using a neural network combined with a correlation structure." This patent discloses methods that include receiving an input image, generating a label prediction using a trained neural network, and creating a correlation structure based on comparisons with reference images. Another notable patent is "System, method, and computer program product for data-driven optimization of onboard data collection." This invention focuses on optimizing the performance of autonomous vehicles by identifying roadway conditions and generating instructions for data collection.

Career Highlights

Jelena has worked with notable companies such as Argo AI GmbH and Ford Global Technologies, LLC. Her experience in these organizations has allowed her to develop cutting-edge technologies that enhance the capabilities of autonomous vehicles and improve image processing techniques.

Collaborations

Throughout her career, Jelena has collaborated with talented individuals, including Thomas Muehlenstaedt and Daniel Alfonsetti. These partnerships have contributed to her innovative projects and advancements in technology.

Conclusion

Jelena Frtunikj is a trailblazer in the fields of image classification and autonomous vehicle optimization. Her patents and career achievements reflect her dedication to advancing technology and improving the functionality of modern systems.

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