This inventor holds 2 USPTO granted patents. Top assignee: Ford Global Technolgoies, LLC. Active years: 2022.
Company Filing History:
Years Active: 2022
Title: Innovations by Kyle B. Sorensen
Introduction
Kyle B. Sorensen is an accomplished inventor based in Canton, MI (US). He has made significant contributions to the field of image processing, particularly in automotive applications. With a total of 2 patents, his work focuses on enhancing vehicle technology through innovative systems and methods.
Latest Patents
One of Kyle's latest patents is titled "Systems and methods for sharing camera setting control among multiple image processing components in a vehicle." This invention is directed towards optimizing the sharing of a video feed from a camera among various image processing components within a vehicle. The system prioritizes the first image processing component, which performs a critical function, while allowing a second component to apply different camera settings when the first relinquishes control.
Another notable patent is "Road marking detection." This processing system utilizes a polarimetric camera sensor to identify road surfaces based on vehicle location and camera orientation. The system effectively removes polarized light reflections from the captured image, enabling the identification of road features, including lane markings.
Career Highlights
Kyle B. Sorensen is currently employed at Ford Global Technologies, LLC, where he continues to innovate in the automotive technology sector. His work is instrumental in advancing vehicle safety and functionality through cutting-edge image processing techniques.
Collaborations
Kyle collaborates with talented coworkers, including David Michael Herman and Jon M. Speigle. Their combined expertise contributes to the development of groundbreaking technologies in the automotive industry.
Conclusion
Kyle B. Sorensen's contributions to image processing in vehicles demonstrate his commitment to innovation and safety in automotive technology. His patents reflect a deep understanding of the complexities involved in modern vehicle systems.
