This inventor holds 1 USPTO granted patent. Top assignee: Nio Technology (Anhui) Co., Ltd.. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Ruonan Xue: Innovator in Lane-Changing Prediction Technology
Introduction
Ruonan Xue is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of vehicle technology, particularly in the area of lane-changing prediction for target vehicles. His innovative approach utilizes machine learning models to enhance the safety and efficiency of vehicular navigation.
Latest Patents
Ruonan Xue holds a patent for a "Method and device for lane-changing prediction of target vehicle." This invention involves a method that includes receiving the velocity and position of a target vehicle. It further entails obtaining a first lane-changing probability and a second lane-changing probability using two distinct machine learning models. The invention aims to determine the likelihood of lane changing based on these probabilities, thereby improving predictive capabilities in vehicular technology.
Career Highlights
Ruonan Xue is currently associated with Nio Technology (Anhui) Co., Ltd., a leading company in the electric vehicle sector. His work focuses on integrating advanced technologies into vehicle systems, contributing to the development of smarter and safer transportation solutions.
Collaborations
Ruonan collaborates with notable colleagues, including Binbin Lin and Ping Zhou, who contribute to the innovative projects at Nio Technology. Their teamwork fosters a creative environment that drives technological advancements in the automotive industry.
Conclusion
Ruonan Xue's contributions to lane-changing prediction technology exemplify the intersection of innovation and machine learning in the automotive field. His work not only enhances vehicle safety but also paves the way for future advancements in intelligent transportation systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
