Company Filing History:
Years Active: 2023-2025
Title: Innovations of Xiaqing Wu in Autonomous Vehicle Technology
Introduction
Xiaqing Wu is an accomplished inventor based in Foster City, CA. He has made significant contributions to the field of autonomous vehicle technology, holding 2 patents that focus on enhancing the accuracy and safety of high-definition mapping systems.
Latest Patents
One of his latest patents is titled "Annotating high definition map data with semantic labels." This invention involves a method that obtains multiple sets of camera images and light detection and ranging (LIDAR) point clouds along a track within a geographic sector of a map. The method applies a learning model to characterize objects within the camera images, generating segmented images. It also maps the sets of camera images and LIDAR point clouds to three-dimensional points of the geographic sector, projecting these points onto the segmented images to obtain corresponding classes.
Another notable patent is "Occupancy map updates based on sensor data collected by autonomous vehicles." This online system builds a high-definition map for a geographical region based on sensor data captured by multiple autonomous vehicles. These vehicles detect discrepancies in the map by comparing their sensor data with the existing high-definition map. The system updates the occupancy maps to improve accuracy and enhance passenger and pedestrian safety.
Career Highlights
Xiaqing Wu is currently employed at Nvidia Corporation, a leading company in graphics processing and AI technology. His work focuses on developing innovative solutions that leverage advanced mapping techniques for autonomous vehicles.
Collaborations
He collaborates with talented individuals such as Mark Damon Wheeler and Lin Yang, contributing to the advancement of technology in the field of autonomous driving.
Conclusion
Xiaqing Wu's innovative patents and contributions to autonomous vehicle technology demonstrate his commitment to improving safety and accuracy in high-definition mapping systems. His work continues to influence the future of transportation technology.
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