San Francisco, CA, United States of America

Alexis Weill

USPTO Granted Patents = 4 

Average Co-Inventor Count = 5.6

ph-index = 1


Company Filing History:


Years Active: 2021-2024

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4 patents (USPTO):Explore Patents

Title: Innovations by Inventor Alexis Weill

Introduction

Alexis Weill is a prominent inventor based in San Francisco, CA, known for his contributions to the field of autonomous vehicle technology. With a total of four patents to his name, Weill has made significant strides in enhancing the performance and evaluation of autonomous vehicles.

Latest Patents

Weill's latest patents focus on systems and methods for autonomous vehicle performance evaluation. One of his patents describes systems, methods, and non-transitory computer-readable media that can determine a first utility metric associated with a region and first autonomous vehicle eligibility criteria. This metric is based on a plurality of rides that can be successfully executed within the region. Additionally, a second utility metric can be determined based on a different set of rides and eligibility criteria. The invention allows for the selection of an autonomous vehicle based on a comparison of these utility metrics. Another patent outlines a method for receiving transportation information related to a request, determining routes for both non-autonomous and autonomous vehicles, and selecting the best route based on performance metrics.

Career Highlights

Alexis Weill is currently employed at Lyft, Inc., where he continues to innovate in the realm of transportation technology. His work focuses on improving the efficiency and safety of autonomous vehicles, contributing to the future of mobility.

Collaborations

Weill collaborates with talented individuals such as Kumar Hemachandra Chellapilla and Emilie Jeanne Anne Danna, who contribute to the development of advanced technologies in the transportation sector.

Conclusion

Alexis Weill's innovative work in autonomous vehicle technology showcases his commitment to enhancing transportation systems. His patents reflect a deep understanding of the complexities involved in autonomous vehicle performance evaluation.

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