Santa Clara, CA, United States of America

Lindsey Kuper


 

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 18(Granted Patents)


Company Filing History:


Years Active: 2019-2023

where 'Filed Patents' based on already Granted Patents

4 patents (USPTO):

Title: Lindsey Kuper: Innovator in Autonomous Vehicle Technology

Introduction

Lindsey Kuper is a prominent inventor based in Santa Clara, CA (US). She has made significant contributions to the field of autonomous vehicle technology, holding a total of 4 patents. Her work focuses on advanced sensing and response systems that enhance the functionality and safety of autonomous vehicles.

Latest Patents

Among her latest patents is a groundbreaking design for an autonomous vehicle that includes one or more processors configured to provide a local compute manager. This manager is responsible for overseeing the execution of compute workloads associated with the vehicle. It can perform various operations, such as receiving and offloading compute tasks to other autonomous vehicles. Another notable patent involves a computing device within an autonomous vehicle that features a wireless network device, enabling a connection with an autonomous vehicle network. This device includes multiple processors that execute a compute manager to handle workloads related to autonomous operations.

Career Highlights

Lindsey Kuper has established herself as a key player in the technology sector, particularly at Intel Corporation, where she applies her expertise in autonomous systems. Her innovative approaches have led to advancements in how autonomous vehicles navigate and respond to their environments.

Collaborations

Lindsey has collaborated with notable colleagues, including Justin E Gottschlich and Barath Lakshamanan, to further enhance the capabilities of autonomous vehicle technologies.

Conclusion

Lindsey Kuper's contributions to autonomous vehicle technology exemplify her innovative spirit and dedication to advancing the field. Her patents reflect a commitment to improving the safety and efficiency of autonomous systems.

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