This inventor holds 2 USPTO granted patents and 2 EPO patents. 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: Andrey Sergeevich Voynov: Innovator in LIDAR Technology
Introduction: Andrey Sergeevich Voynov, based in Moscow, Russia, is a distinguished inventor known for his contributions to the field of LIDAR technology. With a portfolio of two patents, Voynov has demonstrated a commitment to innovation and advancement in autonomous vehicle systems.
Latest Patents: Voynov's most recent patents involve sophisticated methods and systems for calibrating multiple LIDAR sensors. One patent details a method and electronic device for merging digital datasets into a single multidimensional space. This innovative method includes selecting specific data points, matching these points to determine pairs, and calculating error values for precise data alignment. The second patent focuses on calibrating LIDAR systems in self-driving vehicles, which includes determining the axis of symmetry within the vehicle's coordinate system. This process involves generating mirror-image points to establish symmetry and calibrate the LIDAR system accurately.
Career Highlights: Andrey Voynov works at Yandex Self Driving Group, LLC, where he contributes to cutting-edge developments in autonomous technology. His patents highlight his technical expertise and innovative thinking in enhancing the accuracy and functionality of LIDAR systems.
Collaborations: While specific collaborations have not been detailed, the nature of Voynov's work at Yandex suggests he likely collaborates with a team of engineers and researchers focused on advancing self-driving technologies.
Conclusion: Andrey Sergeevich Voynov is a notable inventor whose work in LIDAR calibration methods is setting the stage for advancements in self-driving vehicle technology. His contributions reflect the importance of innovation in enhancing the safety and efficacy of autonomous systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile