Bietigheim-Bissingen, Germany

Matthias Woehrle

This inventor holds 22 USPTO granted patents and 31 published patent applications, primarily in Machine Learning. Top assignees: Robert Bosch, International Business Machines Corporation, Robert Bosch Gmbh. Active years: 2009-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Matthias Woehrle. Retrieved from https://idiyas.com/inventor/matthias-woehrle

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

USPTO Granted Patents = 22 

% Patents Active = 68.2

Average Co-Inventor Count = 3.9

ph-index = 2

Forward Citations = 17(Granted Patents)


Location History:

  • Boeblingen, DE (2009)
  • Boeblingen, GR (2010 - 2011)
  • Beitigheim-Bissingen, DE (2012)
  • Bietigheim-Bissingen, DE (2011 - 2024)

Company Filing History:


Years Active: 2009-2026

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Areas of Expertise:
Machine Learning
Computer Vision
Data Analysis
Sensor Model
Prediction Tasks
Image Classifier
Fuel Injection
Neural Networks
Data Structure
Change-Point Detection
Performance Checking
Time Synchronization
22 patents (USPTO):Explore Patents

Title: Matthias Woehrle: Innovator in Image Classification and Machine Learning

Introduction

Matthias Woehrle is a prominent inventor based in Bietigheim-Bissingen, Germany. He has made significant contributions to the fields of image classification and machine learning, holding a total of nine patents. His work focuses on developing advanced methods and devices that enhance the functionality of semi-autonomous robots and improve the efficiency of injection valves.

Latest Patents

One of Woehrle's latest patents is a method and device for evaluating an image classifier. This computer-implemented method evaluates the classifier output of an image classifier, which is crucial for the operation of at least semi-autonomous robots. The evaluation process involves ascertaining a dataset that includes image data and annotations, determining reachable regions of scenes, and classifying image data to evaluate the performance of the image classifier based on correctly and incorrectly classified regions.

Another notable patent is a method for training a data-based time determining model for an injection valve. This method utilizes a machine learning approach to determine the opening or closing time of the valve based on sensor signals. The training process involves sampling the sensor signal and applying shifting functions to accurately assign time specifications to the analysis point time series.

Career Highlights

Woehrle's career is marked by his innovative contributions to Robert Bosch GmbH, where he applies his expertise in machine learning and robotics. His work has led to advancements that significantly impact the efficiency and functionality of automated systems.

Collaborations

Throughout his career, Woehrle has collaborated with notable colleagues, including Christoph Gladisch and Christian Heinzemann. These collaborations have fostered an environment of innovation and have contributed to the successful development of his patented technologies.

Conclusion

Matthias Woehrle is a distinguished inventor whose work in image classification and machine learning continues to influence the field of robotics. His patents reflect a commitment to advancing technology and improving automated systems.

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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