This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Y.e. Hub Armenia LLC. 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: Kirill Evgenevich Danilyuk: Innovator in LiDAR Technology
Introduction
Kirill Evgenevich Danilyuk is a notable inventor based in Podolsk, Russia. He has made significant contributions to the field of autonomous vehicle technology, particularly in the area of LiDAR data processing. His innovative work focuses on enhancing the reliability of self-driving cars through advanced data analysis techniques.
Latest Patents
Danilyuk holds a patent for a method and system that determines the degradation degree of LiDAR data. This patent, titled "Method and a system of determining LiDAR data degradation degree," outlines a system and method for assessing the quality of point cloud data generated by LiDAR sensors in self-driving cars. The method employs a machine-learning algorithm to analyze various features of the training point cloud and enriches the data to improve the accuracy of degradation assessments.
Career Highlights
Kirill Evgenevich Danilyuk is currently associated with Y.e. Hub Armenia LLC, where he applies his expertise in LiDAR technology. His work is pivotal in advancing the capabilities of self-driving cars, ensuring that they can operate safely and efficiently in diverse environments. With a focus on machine learning and data analysis, Danilyuk continues to push the boundaries of innovation in automotive technology.
Collaborations
Danilyuk collaborates with Dmitry Sergeevich Tochilkin, leveraging their combined expertise to enhance the development of LiDAR systems. Their partnership exemplifies the importance of teamwork in driving technological advancements.
Conclusion
Kirill Evgenevich Danilyuk is a key figure in the realm of LiDAR technology for autonomous vehicles. His innovative patent and collaborative efforts highlight his commitment to improving the safety and efficiency of self-driving cars.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile