Blacksburg, VA, United States of America

Ryan Chilton

USPTO Granted Patents = 7 

Average Co-Inventor Count = 1.7

ph-index = 1

Forward Citations = 7(Granted Patents)


Company Filing History:


Years Active: 2019-2025

Loading Chart...
7 patents (USPTO):Explore Patents

Title: Ryan Chilton: Innovator in High Definition Mapping Technologies

Introduction

Ryan Chilton is a notable inventor based in Blacksburg, VA (US), recognized for his contributions to the field of high definition mapping technologies. With a total of 7 patents to his name, he has made significant strides in enhancing the capabilities of autonomous vehicles through innovative methods and systems.

Latest Patents

Among his latest patents is a method for the detection and mapping of generalized retroreflective surfaces. This method involves monitoring data associated with a retroreflective feature near a road, vectorizing that data, and generating a digital map that includes the location of the retroreflective feature. Additionally, he has developed methods and systems for high definition map generation, which allow for the revision of HD maps for lane lines as they are created. This process includes receiving attributes from a sensor associated with a vehicle and determining whether the road has an existing lane line, thereby updating the high definition map accordingly.

Career Highlights

Ryan has worked with several prominent companies, including Torc Robotics, Inc. and The Charles Machine Works, Inc. His experience in these organizations has contributed to his expertise in the development of advanced mapping technologies.

Collaborations

Ryan has collaborated with notable individuals in his field, including Richard Felix Sharp and Michael Avitabile. These partnerships have further enriched his work and innovation in high definition mapping.

Conclusion

Ryan Chilton stands out as a significant figure in the realm of high definition mapping technologies, with a proven track record of innovation and collaboration. His contributions continue to shape the future of autonomous vehicle navigation and mapping systems.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…