Mohammad-Ali Nikouei Mahani

Title: Mohammad-Ali Nikouei Mahani and Predictive Object Data

Introduction

Mohammad-Ali Nikouei Mahani is an inventor associated with Munich, Germany, and Bayerische Motoren Werke Aktiengesellschaft (BMW AG). His patent work concerns using neural networks and camera data to predict properties of objects in an environment.

Latest Patents

The supplied information lists one patent for Nikouei Mahani: “Method and Device for Predicting Object Data Concerning an Object.” The invention describes a device that processes one or more camera images from a first point in time with a neural encoder network to determine a camera-based feature tensor. It then transforms or projects that tensor from the image plane onto a grid plane representing the camera’s environment. A neural evaluation network uses the transformed feature tensor to determine object data, including one or more predicted properties of an object at a later point in time. The supplied patent count is 1 patent.

Career Highlights

Nikouei Mahani’s listed patent connects computer vision, neural-network processing, and prediction of object properties. The supplied information associates his work with BMW AG, where this technology may be relevant to camera-based systems that interpret their surroundings.

Collaborations

The supplied information names Alvaro Marcos-Ramiro and Alexander Lehner as coworkers. Their specific contributions to the patent are not provided.

Conclusion

Mohammad-Ali Nikouei Mahani’s listed invention focuses on transforming camera-derived features into predictions about objects at future points in time, reflecting the role of neural networks in advanced perception systems.