Yohann Cabon

Title: Innovations of Yohann Cabon

Introduction

Yohann Cabon is a notable inventor based in Montbonnot-Saint-Martin, France. He has made significant contributions to the field of technology, particularly in vehicle speed estimation and visual localization.

Latest Patents

Yohann Cabon holds two patents that showcase his innovative approach. The first patent is titled "Untrained systems and methods for vehicle speed estimation." This invention includes a detection module that determines bounding boxes of an object moving on a surface in images captured by a camera. It also features a solver module that calculates a homography of the surface by solving an optimization problem without prior training. The speed module then uses this homography to determine the speed of the object on the surface.

The second patent is "System and method for training a neural network for visual localization based upon learning objects-of-interest dense match regression." This method involves training a neural network using a variety of training images and reference images. It detects and segments objects of interest, generates two-dimensional matches, and determines localization by solving a perspective-n-point problem.

Career Highlights

Yohann Cabon is currently employed at Naver Corporation, where he continues to develop innovative technologies. His work focuses on enhancing systems that rely on visual data and machine learning.

Collaborations

He collaborates with notable colleagues such as Philippe Weinzaepfel and Gabriela Csurka, contributing to a dynamic and innovative work environment.

Conclusion

Yohann Cabon is a prominent inventor whose work in vehicle speed estimation and visual localization reflects his commitment to advancing technology. His patents and collaborations highlight his significant contributions to the field.