Munich, Germany

Jad Halimeh


Average Co-Inventor Count = 3.0

ph-index = 2

Forward Citations = 73(Granted Patents)


Location History:

  • München, DE (2013)
  • Munich, DE (2017)

Company Filing History:


Years Active: 2013-2017

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2 patents (USPTO):Explore Patents

Title: The Innovative Mind of Jad Halimeh

Introduction

Jad Halimeh is a prominent inventor based in Munich, Germany. He has made significant contributions to the field of technology, particularly in methods related to image processing and object detection. With a total of 2 patents to his name, Halimeh continues to push the boundaries of innovation.

Latest Patents

Halimeh's latest patents include a "Method and apparatus for recognizing directional structures on a window pane of a vehicle." This method involves assessing image points along an evaluation path that is dependent on the expected orientation of directional structures on the window pane. The process culminates in the recognition of these structures based on the assessment. Another notable patent is the "Method and device for detecting an interfering object in a camera image." This method reads pixel data values from a sequence of camera images to detect any interfering objects based on predefined relationships between reference and comparison values.

Career Highlights

Jad Halimeh is currently employed at Robert Bosch GmbH, a leading global supplier of technology and services. His work at Bosch has allowed him to develop innovative solutions that enhance vehicle safety and functionality. His expertise in image processing has positioned him as a valuable asset in the field of automotive technology.

Collaborations

Halimeh has collaborated with notable colleagues such as Stephan Simon and Michael Huelsen. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.

Conclusion

Jad Halimeh exemplifies the spirit of innovation through his patents and contributions to technology. His work continues to influence advancements in vehicle safety and image processing.

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