Tel Aviv-Jaffa, Israel

Max Monastirsky

This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Autobrains Technologies Ltd.. Active years: 2026.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Max Monastirsky: Innovator in Autonomous Driving Technology

Introduction

Max Monastirsky is a prominent inventor based in Tel Aviv-Jaffa, Israel. He has made significant contributions to the field of autonomous driving technology. His innovative approach focuses on enhancing vehicle localization methods, which are crucial for the development of self-driving cars.

Latest Patents

Monastirsky holds a patent for a groundbreaking method titled "Zero shot localization for autonomous driving." This method involves obtaining a plurality of aerial image segment signatures of regions that include the vehicle. It also incorporates sensed image signatures associated with the same region. The process matches selected aerial image segment signatures to sensed image signatures, generating probabilistic location information about the vehicle. Additionally, the method estimates vehicle movement by comparing its location across multiple sensed images captured at various time intervals. Ultimately, it combines the movement estimate with probabilistic location information to determine the vehicle's precise location.

Career Highlights

Max Monastirsky is currently employed at Autobrains Technologies Ltd., where he continues to push the boundaries of autonomous driving technology. His work is instrumental in developing systems that enhance the safety and efficiency of self-driving vehicles.

Collaborations

Monastirsky collaborates with talented professionals in his field, including his coworker Maya Rapaport. Their combined expertise contributes to the innovative projects at Autobrains Technologies Ltd.

Conclusion

Max Monastirsky is a key figure in the advancement of autonomous driving technology, with a focus on innovative localization methods. His contributions are paving the way for safer and more efficient self-driving vehicles.

Profile summary based on public USPTO records.
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