Roanoke, VA, United States of America

Daniel Fernández

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Torc Robotics, Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Daniel Fernández. Retrieved from https://idiyas.com/inventor/daniel-fernández

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 10.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovations of Daniel Fernández

Introduction

Daniel Fernández is an accomplished inventor based in Roanoke, VA (US). He has made significant contributions to the field of autonomous vehicles, particularly through his innovative patent. His work focuses on enhancing the safety and efficiency of lane selection in autonomous driving systems.

Latest Patents

Fernández holds a patent titled "Cost map fusion for lane selection." This patent discloses systems and methods for generating lane selection cost maps to control autonomous vehicles. The autonomous vehicle system can receive a plurality of cost values from various components of the vehicle. It generates a lane selection cost map based on these values and determines when the vehicle should change lanes. The system then transmits a command to execute the lane change, ensuring a smoother and safer driving experience.

Career Highlights

Daniel Fernández is currently employed at Torc Robotics, Inc., where he continues to develop cutting-edge technologies for autonomous vehicles. His expertise in this area has positioned him as a key player in the advancement of self-driving technology.

Collaborations

Some of his notable coworkers include Adam Shoemaker and John Blankenhorn. Their collaborative efforts contribute to the innovative environment at Torc Robotics, Inc.

Conclusion

Daniel Fernández's work in the field of autonomous vehicles exemplifies the impact of innovation on modern transportation. His patent for lane selection cost maps is a testament to his dedication to improving vehicle safety and efficiency.

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]
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