Blacksburg, VA, United States of America

Ryan Chilton

This inventor holds 15 USPTO granted patents and 10 published patent applications, primarily in Autonomous Vehicle Technology. Top assignees: Torc Robotics, Inc., The Charles Machine Works, Inc.. Active years: 2019-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ryan Chilton. Retrieved from https://idiyas.com/inventor/ryan-chilton

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

USPTO Granted Patents = 15 (Patent Applications = 10)

% Patents Active = 66.7

Average Co-Inventor Count = 1.9

ph-index = 1

Forward Citations = 7(Granted Patents)

Company Filing History:

The Charles Machine Works, Inc.

patents

where one patent can have more than one assignee

Years Active: 2019-2026

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Areas of Expertise:

Image Data Analysis

Safe Driving Paths

Collision Aware Path Planning

Retroreflective Surfaces

World Model Generation

High Definition Maps

Object Detection

Enhanced Signage Display

15 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12718593 - Systems and methods for using image data to analyze an image (2026-08-25),

2. 12709291 - SYSTEMS AND METHODS FOR USING MULTIPLE VEHICLES TO INCREASE CONFIDENCE LEVEL (2026-08-18),

3. 12691905 - Methods and systems for learning safe driving paths (2026-07-28),

4. 12597271 - Systems and methods for using image data to analyze an image (2026-04-07),

5. 12597270 - Systems and methods for using image data to analyze an image (2026-04-07),

6. 12566069 - Localizing vehicles using retroreflective surfaces (2026-03-03),

7. 12546623 - World model generation and correction for autonomous vehicles (2026-02-10),

8. 12498252 - World model generation and correction for autonomous vehicles (2025-12-16),

9. 12485887 - Collision aware path planning systems and methods (2025-12-02),

10. 12468306 - Detection and mapping of generalized retroreflective surfaces (2025-11-11),

11. 12422274 - Methods and systems for high definition map generation (2025-09-23),

12. 12391271 - Enhanced signage display for autonomous vehicles and passengers (2025-08-19),

13. 12358520 - Enhanced map display for autonomous vehicles and passengers (2025-07-15),

14. 11293165 - Object detection system and method (2022-04-05),

15. 10344450 - Object detection system and method (2019-07-09),

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 15 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.

Profile summary based on public USPTO records.

Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]

10 patents pending: