Company Filing History:
Years Active: 2024-2025
Title: Weizhao Shao: Innovator in Autonomous Driving Technologies
Introduction
Weizhao Shao is a prominent inventor based in Santa Clara, CA, specializing in technologies for autonomous driving. He holds a total of 2 patents that contribute significantly to the field of visual odometry and localization for autonomous vehicles.
Latest Patents
One of his latest patents is titled "Heterogeneous Multi-Threaded Visual Odometry in Autonomous Driving." This patent discloses a system and method for performing visual odometry, which includes generating an image pyramid based on an input image. The system can refine pose prior information to represent the location and orientation of an autonomous vehicle. It also involves selecting seed points from the image pyramid and generating refined seeds with added depth values, ultimately creating a point cloud based on scene points.
Another notable patent is "Visual Localization Against a Prior Map." This invention outlines a system for performing visual localization by generating a global point cloud that represents multiple point clouds. The global point cloud can be mapped to prior geographic maps to estimate the position of an autonomous vehicle, utilizing sensor information from the vehicle's systems.
Career Highlights
Weizhao Shao has worked with notable companies in the automotive and technology sectors, including Argo AI and Volkswagen Group of America Investments, LLC. His experience in these organizations has allowed him to develop and refine his innovative ideas in the realm of autonomous driving.
Collaborations
Throughout his career, Weizhao has collaborated with talented individuals such as Ankit Kumar Jain and Xxx Xinjilefu. These partnerships have likely contributed to the advancement of his projects and patents.
Conclusion
Weizhao Shao is a key figure in the development of autonomous driving technologies, with his patents paving the way for advancements in visual odometry and localization. His contributions are essential for the future of autonomous vehicles.
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