This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Yandex Self Driving Group LLC. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Innovations of Maksim Ilich Stebelev
Introduction
Maksim Ilich Stebelev is a notable inventor based in Khimki, Russia. He has made significant contributions to the field of technology, particularly in the area of object detection using advanced systems. His work is characterized by a focus on enhancing the capabilities of vehicles through innovative methods.
Latest Patents
Maksim holds a patent for "Methods and systems for computer-based determining of presence of objects." This invention involves a method and system for processing Light Detection and Ranging (LIDAR) point cloud data. The method is executable by an electronic device that is communicatively coupled to a LIDAR installed on a vehicle. The LIDAR utilizes a plurality of lasers to capture LIDAR point cloud data. The process includes receiving the first LIDAR point cloud data, executing a Machine Learning Algorithm (MLA) to analyze the data, and determining if certain points are associated with blind spots that may hinder object detection.
Career Highlights
Maksim is currently employed at Yandex Self Driving Group LLC, where he applies his expertise in developing cutting-edge technologies for autonomous vehicles. His work at Yandex has positioned him as a key player in the advancement of self-driving technology.
Collaborations
Maksim collaborates with Boris Konstantinovich Yangel, contributing to the innovative projects at Yandex. Their combined efforts aim to push the boundaries of what is possible in the realm of autonomous driving.
Conclusion
Maksim Ilich Stebelev's contributions to technology, particularly in LIDAR systems and object detection, highlight his role as an influential inventor in the field. His work continues to pave the way for advancements in autonomous vehicle technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile