Valencia, Spain

Francisco Rovira-Más


Average Co-Inventor Count = 3.0

ph-index = 2

Forward Citations = 44(Granted Patents)


Location History:

  • Benifayo, ES (2009)
  • Valencia, ES (2010)

Company Filing History:


Years Active: 2009-2010

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2 patents (USPTO):Explore Patents

Title: Francisco Rovira-Más: Innovator in Vehicle Guidance Systems

Introduction

Francisco Rovira-Más is a notable inventor based in Valencia, Spain. He has made significant contributions to the field of vehicle guidance systems, holding 2 patents that showcase his innovative approach to enhancing navigation technology.

Latest Patents

One of his latest patents is a vision-aided system and method for guiding a vehicle. This method and system involve a location determining receiver that collects location data for the vehicle. Additionally, a vision module collects vision data for the vehicle. A location quality estimator evaluates the quality of the location data during a specific time window. Furthermore, the vision module estimates the quality of the vision data during the same evaluation time window. A supervisor module then selects a mixing ratio for the vision data and location data based on the quality data. This innovative approach aims to improve the accuracy and reliability of vehicle guidance systems.

Career Highlights

Francisco Rovira-Más is currently employed at Deere & Company, where he continues to develop cutting-edge technologies in the automotive sector. His work focuses on integrating advanced vision systems with traditional navigation methods to create more efficient and reliable vehicle guidance solutions.

Collaborations

Throughout his career, Francisco has collaborated with talented individuals such as Shufeng Han and John Franklin Reid. These partnerships have allowed him to enhance his research and development efforts, leading to innovative solutions in vehicle guidance technology.

Conclusion

Francisco Rovira-Más is a prominent figure in the field of vehicle guidance systems, with a strong focus on integrating vision and location data to improve navigation accuracy. His contributions through patents and collaborations continue to shape the future of automotive technology.

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