David A Johnson

Title: Innovations of David A Johnson

Introduction

David A Johnson is an accomplished inventor based in Durham, NC. He has made significant contributions to the field of work vehicle automation, holding a total of 4 patents. His innovative work focuses on enhancing the efficiency and safety of work vehicles in various environments.

Latest Patents

One of Johnson's latest patents is titled "Work vehicle guidance and/or automation with respect to identified regions of interest in a work area." This patent describes computer-implemented systems and methods that automatically adjust the guidance of work vehicles based on detected conditions in a work area. The system identifies deviations from planned movement paths and generates new paths that account for specific coverage characteristics, optimizing vehicle operation and safety.

Another notable patent is the "System and method for autonomous work machine approval." This invention involves a mobile device that includes a processor and memory, which together provide an autonomy management application. This application features an autonomy approval function that allows users to interact with autonomous work machines, ensuring that safety protocols are followed before initiating operations.

Career Highlights

David A Johnson works at Deere & Company, a leading manufacturer in agricultural machinery. His role involves developing innovative solutions that enhance the functionality and safety of work vehicles. Johnson's expertise in automation and guidance systems has positioned him as a key contributor to the company's advancements in technology.

Collaborations

Some of Johnson's coworkers include Margaux M Ascherl and Jeffrey E Runde. Their collaborative efforts contribute to the innovative projects at Deere & Company, fostering a dynamic environment for technological advancements.

Conclusion

David A Johnson's contributions to work vehicle automation reflect his commitment to innovation and safety in the industry. His patents demonstrate a forward-thinking approach that enhances operational efficiency and user interaction with autonomous systems.