Stuttgart, Germany

Laura Beggel

This inventor holds 3 USPTO granted patents and 7 published patent applications and 1 EPO patent. Top assignee: Robert Bosch. Active years: 2022-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Laura Beggel. Retrieved from https://idiyas.com/inventor/laura-beggel

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

Calculating rank
USPTO Granted Patents = 3 

% Patents Active = 100.0

 

Average Co-Inventor Count = 3.4

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022-2025

Loading Chart...
Loading Chart...
3 patents (USPTO):Explore Patents

Title: Laura Beggel: Innovator in Machine Learning and Image Processing

Introduction

Laura Beggel is a prominent inventor based in Stuttgart, Germany. She has made significant contributions to the field of machine learning and image processing. With a total of 3 patents to her name, her work focuses on enhancing the performance of machine learning models through innovative techniques.

Latest Patents

One of her latest patents is titled "Data augmentation for domain generalization." This patent discloses methods and systems for generating training data for machine learning models to improve their performance. The process involves selecting a source image and a target image from an image database. An image segmenter is utilized to create segmentation masks for both images, allowing for the manipulation of foreground and background regions. The target image's foreground is removed, and the source image's foreground is inserted, resulting in an augmented image that enhances the training data for the model.

Another notable patent is the "Method for detecting an anomalous image among a first dataset of images using an adversarial autoencoder." This method involves training an Adversarial Autoencoder with a dataset of images to detect anomalies. The training process optimizes the latent representations of the images, allowing for the identification of anomalous images based on reconstruction errors and probability densities.

Career Highlights

Laura Beggel is currently employed at Robert Bosch GmbH, where she applies her expertise in machine learning and image processing. Her innovative approaches have positioned her as a key figure in her field, contributing to advancements in technology and research.

Collaborations

Some of her notable coworkers include Michael Pfeiffer and Filipe J Cabrita Condessa. Their collaborative efforts have further enhanced the impact of their work in the industry.

Conclusion

Laura Beggel's contributions to machine learning and image processing through her patents demonstrate her innovative spirit and dedication to advancing technology. Her work continues to influence the field and inspire future developments.

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]
Loading…