This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignees: Motional Ad LLC, Zoox, Inc.. Active years: 2025-2026.
Company Filing History:
Years Active: 2025-2026
Title: Innovations by Inventor Yunming Shao
Introduction
Yunming Shao is an accomplished inventor based in Fremont, CA, known for his contributions to the field of autonomous driving technology. With a total of 2 patents, he has developed innovative methods and systems that enhance vehicle safety and efficiency.
Latest Patents
One of his latest patents is titled "Agent importance prediction for autonomous driving." This invention involves a method, system, and non-transitory storage media for determining the importance of agents present in the environment surrounding a vehicle. The process includes processing input features associated with these agents and predicting their importance to inform vehicle movements.
Another significant patent is "Object detection and tracking using machine learning transformer models with attention." This patent describes a system that utilizes machine-learned transformer models with self-attention for detecting, classifying, and tracking objects in various environments. The techniques involve receiving sensor data from different modalities and determining bounding shapes to enhance object detection and tracking capabilities.
Career Highlights
Yunming has worked with notable companies in the tech industry, including Zoox, Inc. and Motional Ad LLC. His experience in these organizations has allowed him to apply his innovative ideas in real-world applications, contributing to advancements in autonomous vehicle technology.
Collaborations
Throughout his career, Yunming has collaborated with talented individuals such as Francesco Papi and John Bryan Carter. These partnerships have fostered a creative environment that encourages the development of cutting-edge technologies.
Conclusion
Yunming Shao's work in autonomous driving technology showcases his innovative spirit and dedication to improving vehicle safety and efficiency. His patents reflect a deep understanding of machine learning and sensor integration, positioning him as a key player in the future of transportation.