Matthias Mueller

Title: Matthias Mueller: Innovator in Visual-Inertial Systems

Introduction

Matthias Mueller is a prominent inventor based in Munich, Germany. He has made significant contributions to the field of visual-inertial systems, holding 2 patents that showcase his innovative approach to technology.

Latest Patents

One of Matthias Mueller's latest patents is titled "Methods and apparatus for metric depth estimation using a monocular visual-inertial system." This patent discloses methods, apparatus, systems, and articles of manufacture for metric depth estimation using a monocular visual-inertial system. The apparatus includes at least one memory, instructions, and processor circuitry that executes the instructions to access a globally-aligned depth prediction. This prediction is generated based on a monocular depth estimator and is further enhanced by a dense scale map scaffolding created from visual-inertial odometry. The process involves regressing a dense scale residual map and applying it to the globally-aligned depth prediction.

Another notable patent is for a "Mobile communication terminal device operation of robot terminal." This device includes one or more image sensors that generate data representing the environment. It utilizes processors to implement artificial neural networks that analyze the image sensor data and determine navigation instructions for a robot terminal. This innovation highlights the integration of advanced technologies in mobile communication and robotics.

Career Highlights

Matthias Mueller is currently employed at Intel Corporation, where he continues to push the boundaries of technology. His work focuses on enhancing the capabilities of visual-inertial systems and mobile communication devices.

Collaborations

Throughout his career, Matthias has collaborated with notable colleagues, including Vladlen Koltun and Diana Wofk. These partnerships have contributed to the advancement of his research and innovations.

Conclusion

Matthias Mueller is a key figure in the development of visual-inertial systems, with a focus on practical applications in mobile communication and robotics. His patents reflect a commitment to innovation and technological advancement.