Company Filing History:
2 out of 832,843 Years Active: 2021
Title: Brody Huval: Innovator in Autonomous Navigation
Introduction
Brody Huval is a prominent inventor based in Mountain View, CA (US). He has made significant contributions to the field of autonomous navigation, holding 2 patents that showcase his innovative approaches to vehicle navigation systems.
Latest Patents
One of his latest patents is a "Method for Autonomous Navigation." This method involves an autonomous vehicle recording images from two different sensors during a scan cycle. It calculates the fields of view for both sensors and characterizes spatial redundancy based on the overlap of these fields. If the redundancy falls below a certain threshold, the vehicle disables a specific navigational action informed by external objects. The vehicle then autonomously executes other navigational actions following the scan cycle.
Another notable patent is the "Method for Calculating Nominal Vehicle Paths for Lanes within a Geographic Region." This method includes serving a digital frame of a road segment to an annotation portal, where lane marker labels are inserted. It calculates a nominal path over the road segment and defines a virtual simulator environment. During simulation, the virtual road vehicle traverses the nominal path, scanning for potential collisions. If no collisions are detected, the navigation map for the road segment is updated accordingly.
Career Highlights
Brody Huval has established himself as a key player in the field of autonomous vehicle technology. His innovative methods have the potential to enhance the safety and efficiency of navigation systems in autonomous vehicles.
Collaborations
He has collaborated with notable coworkers, including James Patrick Marion and Kah Seng Tay, contributing to advancements in their shared field of expertise.
Conclusion
Brody Huval's work in autonomous navigation exemplifies the innovative spirit of modern inventors. His patents reflect a commitment to improving vehicle navigation systems, paving the way for safer and more efficient autonomous driving technologies.