David W Webster

Title: The Innovative Mind of David W. Webster

Introduction

David W. Webster is a notable inventor based in Los Angeles, CA, recognized for his groundbreaking contributions to the field of object recognition systems. His innovation focuses on enhancing the capabilities of information extraction from multiple sensor sources, making significant strides in the realm of technology.

Latest Patents

David holds a patent for a "Hierarchical Information Fusion Object Recognition System and Method." This invention presents a hierarchical approach to object recognition, allowing for the aggregation, interpretation, and classification of information derived from diverse sensor sources at the detection feature attribute level. The system adeptly extracts information from each sensor input, resulting in effective detection and classification of objects based on their attributes. By employing at least two distinct processing streams, the system converts detections into hypotheses regarding the identity and class of detected objects. Through the use of hierarchical information fusion algorithms, it merges the detections from multiple streams to assess the probabilities associated with each hypothesis, enhancing the accuracy of classification.

Career Highlights

David W. Webster is an esteemed member of Raytheon Company, a leading player in defense and aerospace technologies. His career is marked by influential work that continuously pushes the boundaries of innovation in object recognition and sensor integration.

Collaborations

Throughout his career, David has collaborated with talented colleagues, including Charles McNary and Kurt Reiser. These partnerships have fostered an environment of creativity and shared expertise, leading to the development of advanced technologies and solutions within the industry.

Conclusion

David W. Webster exemplifies the spirit of innovation through his contributions to object recognition systems. His dedication to enhancing technology through collaborative efforts positions him as a significant figure in the field, with his work promising to influence future advancements in information processing and sensor systems.