Company Filing History:
Years Active: 2025
Title: Jennifer Erdmann: Innovator in Target Classification Technology
Introduction
Jennifer Erdmann is a prominent inventor based in Hamburg, Germany. She has made significant contributions to the field of sensor technology, particularly in the classification of targets using advanced methodologies. Her innovative approach combines the use of neuronal networks and Gaussian Mixture Models to enhance the accuracy of target classification.
Latest Patents
Jennifer Erdmann holds a patent for a "Method and device for classifying targets." This invention proposes a method for classifying targets that involves extracting features from measurement data obtained from one or several receiving elements of a sensor. The method utilizes a neuronal network or a Gaussian Mixture Model, where the measurement data includes sections of a photon histogram. The neuronal network can be either a fully connected network or a convolutional network, showcasing her expertise in applying complex algorithms to practical problems.
Career Highlights
Erdmann is currently employed at Microvision, Inc., where she continues to develop innovative solutions in sensor technology. Her work has positioned her as a key figure in the advancement of target classification methods, contributing to the company's reputation for cutting-edge technology.
Collaborations
Throughout her career, Jennifer has collaborated with talented individuals such as Julia Nitsch and Christian Fellenberg. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.
Conclusion
Jennifer Erdmann's contributions to the field of target classification through her innovative patent and collaborative efforts highlight her role as a leading inventor in sensor technology. Her work continues to influence advancements in this critical area of research and development.