Ann Arbor, MI, United States of America

Dogan Sumer


Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: **Innovative Contributions of Dogan Sumer in Vehicle Technology**

Introduction

Dogan Sumer is a notable inventor based in Ann Arbor, Michigan, known for his contributions to vehicle technology. With one patent to his name, he is recognized for advancing the way vehicles interact with their environments through innovative boundary detection systems.

Latest Patents

Dogan Sumer holds a patent for a system titled "Vehicle path adjustment using a virtual boundary that is based on a shape of a vehicle body". This invention entails a sophisticated system designed to detect road surfaces, incorporating a processor and memory. The unique aspect of his innovation involves establishing a virtual boundary for the vehicle body, which is contingent on its shape. This system identifies surrounding objects using vehicle sensor data and, utilizing this information along with input on propulsion, steering, or braking, determines necessary adjustments such as braking or steering overrides. His invention aims to enhance vehicle safety and responsiveness by automating adjustments in steering and speed based on real-time data.

Career Highlights

Dogan Sumer is affiliated with Ford Global Technologies, LLC, where he applies his innovative prowess to enhance vehicle design and functionality. His role at Ford is marked by a commitment to transforming automotive technology, contributing to a safer and more efficient driving experience.

Collaborations

During his tenure at Ford, Dogan Sumer collaborates with fellow innovator Mohit Srinivasan. Together, they are engaged in research and development efforts that focus on improving vehicle interactions through advanced technological solutions.

Conclusion

Dogan Sumer's work exemplifies the strides being made in the automotive industry towards smarter and safer vehicles. His patented technology represents a significant step forward in leveraging vehicle shape and sensor data to enhance driving safety and operational efficiency.

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