Santa Clara, CA, United States of America

Ibrahim Eden


Average Co-Inventor Count = 10.0

ph-index = 1


Years Active: 2024

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Ibrahim Eden: Innovator in Deep Neural Networks for LiDAR Perception

Introduction

Ibrahim Eden is a prominent inventor based in Santa Clara, CA (US). He has made significant contributions to the field of artificial intelligence, particularly in the development of deep neural networks for perception systems. His innovative work focuses on enhancing the capabilities of autonomous vehicles through advanced sensor data processing.

Latest Patents

Ibrahim Eden holds a patent for a groundbreaking invention titled "Multi-view deep neural network for LiDAR perception." This patent describes a deep neural network (DNN) that is utilized to detect objects from sensor data in a three-dimensional (3D) environment. The multi-view perception DNN comprises multiple constituent DNNs or stages that sequentially process different views of the 3D environment. The DNN is designed to perform class segmentation and regress instance geometry, ultimately generating 2D and/or 3D bounding boxes and class labels for detected objects. This technology is crucial for the safe planning and control of autonomous vehicles.

Career Highlights

Throughout his career, Ibrahim Eden has demonstrated a strong commitment to advancing technology in the field of autonomous systems. His work has not only contributed to the academic community but has also had practical applications in the automotive industry. His innovative approaches to deep learning and perception systems have positioned him as a key figure in the development of safer autonomous driving technologies.

Collaborations

Ibrahim has collaborated with notable professionals in the field, including Nikolai Smolyanskiy and Ryan Oldja. These collaborations have further enriched his research and development efforts, leading to advancements in the technology surrounding autonomous vehicles.

Conclusion

Ibrahim Eden's contributions to the field of deep neural networks and LiDAR perception are paving the way for safer and more efficient autonomous vehicles. His innovative patent and collaborative efforts highlight his role as a leading inventor in this transformative technology.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…