Westfield, IN, United States of America

Mohamed A Moawad

USPTO Granted Patents = 4 

Average Co-Inventor Count = 7.8

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024-2025

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4 patents (USPTO):Explore Patents

Title: Innovations by Inventor Mohamed A Moawad

Introduction

Mohamed A Moawad is an accomplished inventor based in Westfield, IN (US). He holds a total of 4 patents that showcase his expertise in radar technology and vehicle localization systems. His work significantly contributes to advancements in autonomous driving and safety systems.

Latest Patents

One of his latest patents is titled "Detection and localization of non-line-of-sight objects using multipath radar reflections and map data." This document describes techniques and systems to detect and localize non-line-of-sight (NLOS) objects using multipath radar reflections and map data. In some examples, a processor of the radar system can identify a detection of an object using reflected electromagnetic energy and determine, using map data, whether a direct-path reflection associated with the detection is within a roadway. In response to determining that the direct-path reflection is not located within the roadway, the processor can determine whether a multipath reflection associated with the detection is viable. If the multipath reflection is viable, the processor can conclude that the detection corresponds to an NLOS object. This innovation can enhance the safety of autonomous or semi-autonomous driving systems by providing critical input regarding NLOS objects.

Another significant patent by Moawad is "Vehicle localization based on radar detections." This document outlines methods and systems for vehicle localization using radar detections. Radar localization begins with building a radar reference map, which can be generated and updated using various techniques. Once a radar reference map is established, real-time localization can be achieved with inexpensive radar sensors and navigation systems. The techniques described allow for the processing of data from radar sensors and navigation systems to identify stationary localization objects or landmarks in the vehicle's vicinity. By comparing landmark data from onboard sensors with data in the radar reference map, an accurate pose of the vehicle in its environment can be generated. This innovation enables highly accurate vehicle localization in a cost-effective manner.

Career Highlights

Mohamed A Moawad is currently employed at Aptiv Technologies AG, where he continues to develop innovative solutions in the field of automotive technology. His work focuses on enhancing vehicle safety and navigation systems through advanced radar technologies.

Collaborations

Throughout his career, Moawad has collaborated with notable professionals in the field, including Michael H Laur and Aniello Sorrentino. These collaborations have contributed to the development of cutting-edge

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