Company Filing History:
Years Active: 2019-2025
Title: Innovations by Peter Lakatos
Introduction
Peter Lakatos is a notable inventor based in Budapest, Hungary. He has made significant contributions to the field of neural networks and vehicle technology. With a total of 2 patents, Lakatos is recognized for his innovative approaches to complex problems.
Latest Patents
Lakatos's latest patents include a "Method and device for training a style encoder of a neural network" and a "Method for generating a driving style representation representing a driving style of a driver." The first patent focuses on compressing sensory input variables that represent movement and surroundings into an abstract driving situation representation within a latent space of a neural network. This involves using a trained situation encoder and an untrained style encoder to generate driving style representations. The second patent addresses the detection of curbstones in a vehicle's environment. It utilizes image data from a camera device to recognize line segments belonging to the curbstone and projects them onto a ground plane, allowing for accurate curbstone control.
Career Highlights
Peter Lakatos is currently employed at Robert Bosch GmbH, where he applies his expertise in developing advanced technologies. His work has contributed to enhancing vehicle safety and performance through innovative methods and devices.
Collaborations
Lakatos collaborates with talented individuals such as Peter Pozsegovics and Gabor Kovacs. Their combined efforts in research and development have led to significant advancements in their respective fields.
Conclusion
Peter Lakatos is a distinguished inventor whose work in neural networks and vehicle technology has led to valuable patents. His contributions continue to influence the industry and pave the way for future innovations.