Barbara Hilsenbeck

Title: Barbara Hilsenbeck: Inventor in Predictive Object Data

Introduction

Barbara Hilsenbeck is an inventor associated with Olching, Germany, and Bayerische Motoren Werke Aktiengesellschaft (BMW). Her patent work concerns using camera images and neural networks to predict properties of objects in a camera’s surroundings.

Latest Patents

Hilsenbeck is associated with 1 patent: “Method and Device for Predicting Object Data Concerning an Object.” The invention describes a device that processes at least one camera image using a neural encoder network to create a camera-based feature tensor. It then transforms or projects that tensor from the image plane onto a grid representing the camera’s environment. A neural evaluation network uses the transformed tensor to determine object data, including one or more predicted properties of an object at a time after the image was captured.

Career Highlights

The patent reflects work at the intersection of computer vision, neural networks, and predictive object analysis. Its approach converts image-based information into an environmental grid representation to support predictions about objects around a camera.

Collaborations

Hilsenbeck’s listed coworkers include Alexander Lehner and Alvaro Marcos-Ramiro. The patent is associated with Bayerische Motoren Werke Aktiengesellschaft.

Conclusion

Barbara Hilsenbeck’s patent describes a neural-network-based method for transforming camera imagery into environmental object data and predicting how objects may be characterized at a later time.