San Dimas, CA, United States of America

Mikhail Smirnov


Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Mikhail Smirnov: Innovator in Client-Server Navigation Solutions

Introduction

Mikhail Smirnov is a notable inventor based in San Dimas, California. He has made significant contributions to the field of vehicular navigation technology. His innovative approach focuses on enhancing navigation solutions, particularly in low data bandwidth conditions.

Latest Patents

Mikhail holds a patent for a client-server navigation solution designed for low data bandwidth conditions. This method involves a head unit embedded in a vehicle, configured as a client device running an HTML-5 based navigation app. A smartphone acts as a server device, linked to the head unit through wireless local area network technologies, such as Bluetooth. The smartphone transmits navigational map tiles in vector format, calculated routes, and a subset of navigational raw voice guidance data to the head unit as needed. The HTML-5 based navigation app then renders the navigational map tile and the calculated route geometry on the head unit's display, while also playing the voice guidance data through a speaker.

Career Highlights

Throughout his career, Mikhail has worked with several prominent companies, including Mitac International Corporation and Mitac Research (Shanghai) Ltd. His experience in these organizations has contributed to his expertise in navigation technologies and client-server solutions.

Collaborations

Mikhail has collaborated with notable professionals in the field, including Juhang Kuo and Alexey Pershin. These collaborations have further enriched his work and innovations in navigation solutions.

Conclusion

Mikhail Smirnov is a distinguished inventor whose work in client-server navigation solutions has made a significant impact in the automotive industry. His innovative patent demonstrates his commitment to improving vehicular navigation, particularly in challenging data conditions.

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