This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Aurora Operations, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Innovations by David Wheeler in Autonomous Vehicle Localization
Introduction
David Wheeler is an accomplished inventor based in Pittsburgh, PA (US). He has made significant contributions to the field of autonomous vehicles, particularly in localization technologies. His innovative work is aimed at enhancing the safety and efficiency of self-driving systems.
Latest Patents
David Wheeler holds a patent for "Systems and methods for localizing an autonomous vehicle." This patent describes a computing system that can obtain various inputs through sensor systems onboard an autonomous vehicle. These inputs include a motion input, a surface element registration input representing tracked surface elements, and a lane alignment input indicating lane boundaries. The computing system utilizes these inputs to generate pose states of the autonomous vehicle, which include both local and global poses. Based on these pose states, the system can determine a motion plan for the vehicle, thereby improving its navigation capabilities.
Career Highlights
David Wheeler is currently employed at Aurora Operations, Inc., where he continues to develop cutting-edge technologies for autonomous vehicles. His work focuses on creating systems that enhance the vehicle's ability to understand its environment and make informed decisions.
Collaborations
David collaborates with talented individuals such as James Jackson and Daniel Koch. Together, they work on advancing the technology behind autonomous vehicles, contributing to the overall progress in this exciting field.
Conclusion
David Wheeler's innovative work in the localization of autonomous vehicles showcases his expertise and commitment to improving transportation technology. His contributions are paving the way for safer and more efficient self-driving systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile