This inventor holds 2 USPTO granted patents. Top assignee: Robert Bosch. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Felix Hertlein: Innovator in Trajectory Prediction Technologies
Introduction
Felix Hertlein is a notable inventor based in Karlsruhe, Germany. He has made significant contributions to the field of trajectory prediction, particularly in the context of ego vehicles. With a total of 2 patents to his name, Hertlein's work focuses on enhancing the safety and efficiency of road user interactions.
Latest Patents
Hertlein's latest patents include a "Method for trajectory prediction" and a "Method for controlling an ego vehicle." The first patent outlines a computer-implemented method that involves receiving trajectory data of motion trajectories from road users in the vicinity of the ego vehicle. This data is processed to generate an interaction graph representation, which aids in predicting future motion trajectories of other road users. The second patent details a method for predicting the behavior of road users based on a graph representation of a traffic situation. This method computes the evolution of states of road users and their interactions, providing insights into their potential behaviors.
Career Highlights
Felix Hertlein is currently employed at Robert Bosch, a leading global supplier of technology and services. His work at Bosch allows him to apply his innovative ideas in real-world applications, contributing to advancements in automotive technology.
Collaborations
Hertlein collaborates with talented colleagues, including Maximilian Zipfl and Achim Rettinger. Their combined expertise fosters a creative environment that drives innovation in their projects.
Conclusion
Felix Hertlein's contributions to trajectory prediction technologies exemplify the impact of innovative thinking in the automotive industry. His patents reflect a commitment to improving road safety and user experience through advanced predictive methods.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
