This inventor holds 27 USPTO granted patents and 2 published patent applications and 5 EPO patents, primarily in Machine Learning Imaging. Top assignees: Intel Corporation, Harman Becker Automotive Systems Gmbh. Active years: 2014-2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Location History:
- Karlsbad, DE (2014 - 2020)
- Malsch, DE (2018 - 2023)
Company Filing History:
18 out of 56,365 
9 out of 631 
Years Active: 2014-2023
Areas of Expertise:
Title: Innovations and Contributions of Kay-Ulrich Scholl
Introduction
Kay-Ulrich Scholl is a prominent inventor based in Karlsbad, Germany, recognized for his significant contributions to technology through his 27 patents. His expertise lies in advanced machine learning techniques and automotive safety systems, demonstrating a dedication to enhancing the efficiency and safety of technological applications.
Latest Patents
Among his latest innovations is the patent focused on "Depth and Motion Estimations in Machine Learning Environments." This mechanism is aimed at facilitating depth and motion estimation by processing frames captured by cameras using a deep recurrent neural network architecture. The method includes simultaneously predicting values associated with various loss functions related to the processed frame, allowing for accurate depth and motion estimates.
Another noteworthy patent is the "System and Method for Emergency Braking," which addresses vehicle safety. This method involves detecting braking situations, classifying them, and selecting an appropriate braking profile to ensure safe deceleration, maintaining a safe distance according to the determined classification.
Career Highlights
Kay-Ulrich Scholl has held key positions at leading companies, including Intel Corporation and Harman Becker Automotive Systems GmbH. His work in these organizations has significantly influenced the development of innovative solutions in the fields of machine learning and automotive technology.
Collaborations
Throughout his career, Scholl has collaborated with talented individuals, including Koba Natroshvili and Johannes Quast. These partnerships have enabled the pooling of ideas and expertise, further advancing the state of technology in their respective areas.
Conclusion
Kay-Ulrich Scholl's contributions to the fields of machine learning and automotive safety highlight his role as a leading inventor. With a portfolio of 27 patents, Scholl continues to impact technology positively, paving the way for future innovations that enhance both functionality and safety in everyday applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile