This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Yandex Self Driving Group LLC. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: **Dmitry Alekseevich Kalyuzhny: Innovating Traffic Signal Management**
Introduction
Dmitry Alekseevich Kalyuzhny is an inventive mind based in Saint Petersburg, Russia, whose contributions to traffic signal technology are noteworthy. With a focus on enhancing urban mobility through innovation, Kalyuzhny holds one patent that reflects his expertise in the field.
Latest Patents
Kalyuzhny's significant patent, titled "Method of and system for determining traffic signal state," presents a sophisticated approach to predicting the status of traffic signals. This invention involves receiving a video of a traffic signal and generating still images from the video. A first machine learning algorithm analyzes each still image, producing a vector that indicates the predicted status of each bulb. Subsequently, a second machine learning algorithm assesses these vectors to determine the overall predicted state of the traffic signal. This innovative system aims to improve traffic management and driver safety.
Career Highlights
Currently, Dmitry is part of the Yandex Self Driving Group LLC, a company recognized for its advancements in autonomous driving technologies and smart solutions. His work there exemplifies a commitment to leveraging technology for practical applications in road safety and efficiency.
Collaborations
Kalyuzhny collaborates with talented professionals such as Aleksey Sergeevich Artamonov and Yuliya Alekseevna Yakovleva, contributing to a collective effort in innovative research and development. Their combined skills foster an environment rich in creativity and technological progress.
Conclusion
Dmitry Alekseevich Kalyuzhny stands out as an influential inventor in the realm of traffic signal technology. His patent reflects a growing trend in applying machine learning to enhance urban infrastructure, highlighting the importance of innovation in improving everyday transportation experiences. As cities continue to evolve, contributions like Kalyuzhny's will play a crucial role in shaping the future of smart mobility solutions.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile