San Francisco, CA, United States of America

Konstantine Mushegian

USPTO Granted Patents = 9 

Average Co-Inventor Count = 2.9

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2020-2025

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9 patents (USPTO):

Title: Konstantine Mushegian: Innovator in Autonomous Vehicle Technology

Introduction

Konstantine Mushegian is a prominent inventor based in San Francisco, CA, known for his contributions to the field of autonomous vehicle technology. With a total of eight patents to his name, Mushegian has made significant strides in developing systems that enhance the operation and monitoring of autonomous vehicles.

Latest Patents

Among his latest patents is a groundbreaking system titled "Infrastructure to support real-time review of events." This invention involves a method for receiving an indication of an event related to the operation of an autonomous vehicle. It includes determining actions to be performed, such as requesting specific data from memory, generating an output with that data, and transmitting it to a remote monitoring system. Another notable patent is the "Low bandwidth protocol for streaming sensor data," which provides systems and methods for transmitting vehicle data to remote monitoring systems using a low bandwidth protocol.

Career Highlights

Mushegian has worked with notable companies in the automotive and technology sectors, including the Toyota Research Institute, Inc. and Embark Trucks Inc. His work has focused on improving the efficiency and reliability of autonomous vehicle systems, making significant contributions to the industry.

Collaborations

Throughout his career, Mushegian has collaborated with talented individuals such as Brandon Northcutt and Kevin Stone, further enhancing the innovative projects he has been involved in.

Conclusion

Konstantine Mushegian's work in autonomous vehicle technology exemplifies the spirit of innovation and dedication to advancing the field. His patents and collaborations reflect a commitment to improving the safety and efficiency of autonomous systems.

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