Company Filing History:
3 out of 3,226 
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Years Active: 2024-2025
Title: Innovations of Nico Maurice Schmidt
Introduction
Nico Maurice Schmidt is a prominent inventor based in Berlin, Germany. He has made significant contributions to the field of driver assistance systems and neural networks. With a total of three patents to his name, Schmidt's work focuses on enhancing the functionality and reliability of vehicle technology.
Latest Patents
One of Schmidt's latest patents is a method and generator for generating disturbed input data for a neural network. This invention relates to a method for generating disturbed input data for analyzing sensor data, particularly digital images, in a driver assistance system. The process involves defining metrics to measure changes in sensor data and directing disturbances, solving an optimization problem, and generating disturbed input data for the neural network.
Another notable patent is a method for operating a driver assistance system of a vehicle. This method includes recording sensor data from the vehicle's surroundings, verifying the data, and analyzing it through a neural network. The analyzed data is then used to generate control data for vehicle operation. The verification process compares earlier recorded sensor data with later data, cross-checking the results with a database of perturbations to ensure accuracy.
Career Highlights
Throughout his career, Schmidt has worked with notable companies such as Volkswagen AG and DSpace GmbH. His experience in these organizations has allowed him to develop and refine his innovative ideas in the automotive technology sector.
Collaborations
Some of Schmidt's coworkers include Fabian Hüger and Peter Schlicht. Their collaboration has contributed to the advancement of technologies in the field of driver assistance systems.
Conclusion
Nico Maurice Schmidt's innovative work in the realm of driver assistance systems and neural networks showcases his expertise and commitment to enhancing vehicle technology. His patents reflect a deep understanding of the challenges in this field and offer solutions that could significantly improve safety and efficiency in automotive systems.