Mountain View, CA, United States of America

David W Smith

USPTO Granted Patents = 9 

Average Co-Inventor Count = 3.6

ph-index = 6

Forward Citations = 1,298(Granted Patents)


Location History:

  • Mountain View, CA (US) (1999 - 2023)
  • Sunnyvale, CA (US) (2023)

Company Filing History:


Years Active: 1999-2023

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9 patents (USPTO):Explore Patents

Title: Innovations of David W Smith in Autonomous Vehicle Technology

Introduction

David W Smith is a prominent inventor based in Mountain View, CA, known for his significant contributions to the field of autonomous vehicle technology. With a total of nine patents to his name, Smith has been at the forefront of developing innovative solutions that enhance the safety and efficiency of autonomous driving systems.

Latest Patents

Among his latest patents, one notable invention is the "Physics-informed optimization for autonomous driving systems." This method involves identifying segments of a route for an autonomous vehicle (AV) based on grade data, generating driving constraint data, and enabling the AV to navigate effectively. Another significant patent addresses the issue of jackknifing in articulated autonomous vehicles. This technology evaluates the vehicle's current state against its planned trajectory and implements an automated braking approach to stabilize the vehicle when a jackknifing situation is likely.

Career Highlights

Throughout his career, David W Smith has worked with several notable companies, including Rose Blush Software LLC and Waymo LLC. His experience in these organizations has allowed him to develop and refine his innovative ideas in the realm of autonomous vehicles.

Collaborations

Smith has collaborated with various professionals in the industry, including Kevin G Rivette and Irving S Rappaport. These collaborations have contributed to the advancement of his projects and the successful implementation of his inventions.

Conclusion

David W Smith's work in autonomous vehicle technology showcases his dedication to innovation and safety. His patents reflect a deep understanding of the challenges faced in this field and offer practical solutions to enhance the performance of autonomous systems.

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