This inventor holds 1 USPTO granted patent. Top assignee: Massachusetts Institute of Technology. Active years: 2015.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2015
Title: Jeffrey Charles Koechling and Vehicle Localization Using Subsurface Radar
Introduction
Jeffrey Charles Koechling is an inventor associated with the Massachusetts Institute of Technology in Cambridge, Massachusetts. His work includes an invention that uses surface-penetrating radar to help determine a vehicle’s location.
Latest Patents
Koechling is credited with 1 patent: “Vehicle Localization Using Surface Penetrating Radar.” The patent describes acquiring surface-penetrating radar (SPR) images of the subsurface along a vehicle’s track and comparing them with previously acquired images of an overlapping region. The comparison may use image correlation, and the vehicle’s location is estimated using location data associated with the earlier images.
The approach relies on relatively stable features beneath the surface. These features may help vehicle navigation remain effective when weather, moving objects, or changing illumination interfere with other sensor-based systems. Potential applications include self-driving automobiles and autonomous platforms, where location estimates can help guide a vehicle along a desired path.
Career Highlights
Koechling’s documented patent work highlights the use of subsurface radar for vehicle localization. The invention connects radar imaging, image comparison, and location estimation in a navigation method designed to complement other sensing approaches.
Collaborations
The supplied information names Byron McCall Stanley and Charles Coldwell as Koechling’s coworkers. It does not specify their roles in the patent or the invention.
Conclusion
Jeffrey Charles Koechling’s patent presents subsurface radar as a way to support vehicle localization by matching current images with previously recorded data. Its proposed applications include autonomous vehicles and platforms that need reliable navigation.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
