Feix Assion

Title: Feix Assion: Innovator in Neural Network Data Generation

Introduction

Feix Assion is a notable inventor based in Berlin, Germany. He has made significant contributions to the field of neural networks, particularly in the area of data generation for analyzing sensor data. His innovative approach has implications for driver assistance systems, enhancing the safety and efficiency of automotive technologies.

Latest Patents

Feix Assion holds a patent for 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 a neural network that analyzes sensor data, specifically digital images from driver assistance systems. The process involves defining a first metric to measure the magnitude of changes in sensor data and a second metric to indicate the direction of disturbances. An optimization problem is created from these metrics, which is then solved using a solution algorithm. The outcome indicates a target disturbance of the input data, allowing for the generation of disturbed input data from sensor data for the neural network.

Career Highlights

Throughout his career, Feix Assion has worked with prominent companies in the automotive and technology sectors. Notably, he has been associated with Volkswagen AG and DSpace GmbH, where he has applied his expertise in developing innovative solutions for complex engineering challenges.

Collaborations

Feix Assion has collaborated with talented professionals in his field, including Fabian Hüger and Peter Schlicht. These collaborations have contributed to the advancement of his projects and the successful implementation of his inventions.

Conclusion

Feix Assion's work in generating disturbed input data for neural networks represents a significant advancement in the field of driver assistance systems. His innovative methods and collaborations with industry leaders highlight his impact on technology and engineering.