Acco, Israel

Roi Saida

USPTO Granted Patents = 5 

Average Co-Inventor Count = 2.1

ph-index = 2

Forward Citations = 11(Granted Patents)


Company Filing History:


Years Active: 2020-2025

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5 patents (USPTO):Explore Patents

Title: The Innovative Mind of Roi Saida

Introduction

Roi Saida is a notable inventor based in Acco, Illinois, recognized for his contributions to the field of vehicle technology. With a total of five patents to his name, Saida has made significant strides in enhancing driving safety and object detection systems.

Latest Patents

One of Roi Saida's latest patents is a method for lane boundary detection. This innovative method involves obtaining an image of a vehicle's environment, which includes at least one lane boundary. The process utilizes a neural network to calculate image segment lane boundary metadata for relevant image segments. This metadata provides crucial information about the location and angle of lane boundary points, ultimately allowing for an accurate estimate of lane boundaries. Another significant patent is a method for training a driving-related object detector. This method includes receiving an input image and detecting various objects within it, such as four-wheel vehicles, pedestrians, and two-wheel vehicles. The detection process is designed to ensure that the sizes of the objects are appropriately categorized.

Career Highlights

Throughout his career, Roi Saida has worked with several prominent companies, including Cortica Ltd. and Autobrains Technologies Ltd. His experience in these organizations has contributed to his expertise in developing advanced technologies for vehicle safety and object detection.

Collaborations

Roi Saida has collaborated with talented individuals such as Igal Raichelgauz and Shay Ieizerovitch. These partnerships have likely played a role in the successful development of his innovative patents.

Conclusion

Roi Saida's work exemplifies the spirit of innovation in the automotive technology sector. His patents reflect a commitment to improving vehicle safety and enhancing the capabilities of object detection systems.

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