Waldbronn, Germany

Koba Natroshvili

This inventor holds 33 USPTO granted patents and 13 published patent applications, plus 1 CIPO patent and 12 EPO patents, primarily in Autonomous Vehicles. Top assignees: Intel Corporation, Harman Becker Automotive Systems Gmbh, Robert Bosch. Active years: 2013-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Koba Natroshvili. Retrieved from https://idiyas.com/inventor/koba-natroshvili

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 33 

% Patents Active = 81.8


 

Average Co-Inventor Count = 1.9

ph-index = 4

Forward Citations = 74(Granted Patents)


Location History:

  • Wadlbronn, DE (2020 - 2023)
  • Waldbronn, DE (2013 - 2024)

Company Filing History:


Years Active: 2013-2026

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Areas of Expertise:
Depth Estimation
Motion Estimation
Vehicle Control
Obstacle Detection
3D Localization
Convolutional Neural Network
Visual Odometry
Radar Classification
Image Processing
Camera Calibration
Occupancy Grid
Vehicle Navigation
33 patents (USPTO):Explore Patents

Title: Koba Natroshvili: Innovator in Automated Vehicle Technology

Introduction

Koba Natroshvili, based in Waldbronn, Germany, is a distinguished inventor with an impressive portfolio of 29 patents. His work primarily focuses on advancements in automated vehicle technology, particularly in the context of traffic intersections and radar data classification. His contributions promise to enhance the safety and efficiency of automated systems.

Latest Patents

Natroshvili's most recent patents include groundbreaking methods and devices designed to facilitate the operation of automated vehicles at traffic intersections. The first patent outlines a comprehensive method for acquiring environmental data and creating an interactive environment map that utilizes grid cells for determining occupancy probabilities and velocity distributions. This innovation includes a feedback mechanism for adapting driving strategies in real time.

Another notable patent focuses on the reliable classification of radar data gathered from dynamic settings. This method involves transforming radar observations into logarithmic polar coordinates to enhance classification accuracy using advanced neural networks, allowing for improved object detection and tracking capabilities.

Career Highlights

Natroshvili has made significant strides in his career, contributing his expertise to major companies in the technology and automotive sectors. He has worked at Intel Corporation, where he honed his skills in advanced technology solutions. Additionally, his tenure at Harman Becker Automotive Systems GmbH allowed him to apply his innovative ideas directly to the automotive industry, impacting the development of intelligent vehicle systems.

Collaborations

Throughout his career, Koba Natroshvili has collaborated with esteemed professionals in his field, including Kay-Ulrich Scholl and Cornelius Buerkle. These partnerships have not only fostered innovation but have also enhanced the collaborative spirit essential for propelling advancements in automated vehicle systems.

Conclusion

Koba Natroshvili's pioneering work in automated vehicle technology positions him as a key figure in the ongoing evolution of transportation systems. With his substantial patent portfolio and collaborative efforts with leading professionals, Natroshvili continues to contribute significantly to the future of automotive safety and efficiency.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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