This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignees: Audi Ag, Volkswagen Ag. Active years: 2016.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:


Years Active: 2016
Title: Innovations of Philipp Alexander Martinek
Introduction
Philipp Alexander Martinek is a notable inventor based in Markt Indersdorf, Germany. He has made significant contributions to the field of vehicle technology, particularly in cooperative driving scenarios. His innovative approach focuses on enhancing vehicle behavior prediction through advanced data collection and labeling systems.
Latest Patents
Martinek holds a patent for an "Automatic labeling and learning of driver yield intention." This yield determination system is designed to automatically collect, determine, and label yield behaviors of vehicles during cooperative driving scenarios. The system incorporates sensors that detect the start and stop of driving scenarios, a data recorder for automatic data collection, and an annotation unit that labels features of interest regarding the vehicle and its surroundings. The labeled data can be uploaded and processed to enhance learning models that predict vehicle behavior in cooperative driving situations. He has 1 patent to his name.
Career Highlights
Throughout his career, Martinek has worked with prominent automotive companies, including Volkswagen AG and Audi AG. His experience in these organizations has allowed him to develop and refine his innovative ideas in vehicle technology.
Collaborations
Martinek has collaborated with talented individuals in the industry, including Somudro Gupta and Wilko Schwarting. Their combined expertise has contributed to the advancement of his projects and innovations.
Conclusion
Philipp Alexander Martinek's work in vehicle technology showcases his commitment to improving cooperative driving scenarios through innovative systems. His patent reflects a significant step forward in understanding and predicting vehicle behavior, which can enhance safety and efficiency on the roads.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile