Düsseldorf, Germany

Ido Freeman

USPTO Granted Patents = 7 

 

Average Co-Inventor Count = 2.5

ph-index = 1

Forward Citations = 2(Granted Patents)


Location History:

  • Dusseldorf, DE (2022)
  • Düsseldorf, DE (2020 - 2024)

Company Filing History:


Years Active: 2020-2025

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7 patents (USPTO):Explore Patents

Title: Ido Freeman: Innovator in Vehicle Control and Image Processing

Introduction

Ido Freeman is a notable inventor based in Düsseldorf, Germany. He has made significant contributions to the fields of vehicle control systems and image processing, holding a total of 7 patents. His innovative work focuses on enhancing the functionality and safety of host vehicles through advanced algorithms and machine learning techniques.

Latest Patents

One of Ido Freeman's latest patents is a "Method and computer system for controlling the movement of a host vehicle." This method involves determining lane data related to road items and object data acquired from external sensors. A machine-learning algorithm processes this data to classify maneuvers for the vehicle and generate controlling functions that ensure safe and efficient movement. Another significant patent is the "Method and device for classifying pixels of an image." This invention utilizes a neural network to classify image pixels into predetermined classes, creating a predicted segmentation map. The method also incorporates an edge detection algorithm to enhance the accuracy of the classification process.

Career Highlights

Ido Freeman has worked with prominent companies in the technology sector, including Aptiv Technologies AG and Aptiv Technologies Limited. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in automotive technology and image processing.

Collaborations

Ido has collaborated with talented individuals such as Kun Zhao and Jan Siegemund, further enriching his work through shared expertise and insights.

Conclusion

Ido Freeman's contributions to vehicle control and image processing demonstrate his commitment to innovation and technology. His patents reflect a deep understanding of complex systems and a drive to improve safety and efficiency in modern vehicles.

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