This inventor holds 1 USPTO granted patent. Top assignee: Guangzhou Xiaopeng Autopilot Technology 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: Runyu Mao - Innovator in 3D Geometric Guided Feature Matching
Introduction
Runyu Mao is a prominent inventor based in Guangdong, China. He has made significant contributions to the field of three-dimensional geometric guided feature matching. His innovative work has led to the development of a unique system that enhances the accuracy of feature matching between RGB-D images.
Latest Patents
Runyu Mao holds a patent for a system titled "System for three-dimensional geometric guided student-teacher feature matching (3DG-STFM)." This system includes a multi-modal teacher model designed to determine feature matching between pairs of RGB-D images. Each RGB-D image is a combination of an RGB image and its corresponding depth image. The system also features a mono-modal student model that learns from the teacher model to improve feature matching on both coarse and fine levels. The patent includes a coarse-level knowledge transfer loss function and a fine-level knowledge transfer loss function, which guide the student model in learning depth information effectively.
Career Highlights
Runyu Mao is currently employed at Guangzhou Xiaopeng Autopilot Technology Co., Ltd. His work at this company focuses on advancing technologies related to autonomous driving and image processing. With a patent portfolio that includes 1 patent, he continues to push the boundaries of innovation in his field.
Collaborations
Some of his notable coworkers include Chen Bai and Cheng Lu. Their collaborative efforts contribute to the ongoing research and development initiatives at their company.
Conclusion
Runyu Mao's contributions to the field of three-dimensional geometric guided feature matching exemplify his innovative spirit and dedication to advancing technology. His work not only enhances the accuracy of image processing but also plays a crucial role in the development of autonomous systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile