Christopher John Sweeney

Title: Innovations of Christopher John Sweeney

Introduction

Christopher John Sweeney is an accomplished inventor based in San Francisco, CA. He has made significant contributions to the field of motion detection and scene analysis through his innovative patents. With a total of two patents to his name, Sweeney's work focuses on enhancing the understanding of dynamic environments.

Latest Patents

Sweeney's latest patents include "Generating scene flow labels for point clouds using object labels" and "Optical flow based motion detection." The first patent outlines methods, systems, and apparatus for predicting scene flow by utilizing object label data to determine the motion of three-dimensional points in a current point cloud. This involves obtaining a current point cloud, identifying regions within the scene, and generating scene flow labels that represent ground truth motion vectors. The second patent focuses on generating motion detection based on optical flow, where Sweeney describes a method for analyzing images taken at different time points to determine whether points in the scene were static or in motion.

Career Highlights

Sweeney is currently employed at Waymo LLC, a company known for its advancements in autonomous vehicle technology. His work at Waymo involves applying his expertise in motion detection and scene analysis to improve the capabilities of self-driving systems.

Collaborations

Some of Sweeney's notable coworkers include Nichola Abdo and Jonathon Shlens, who contribute to the innovative environment at Waymo LLC.

Conclusion

Christopher John Sweeney's contributions to the field of motion detection and scene analysis through his patents demonstrate his commitment to innovation. His work continues to influence advancements in autonomous technology and motion analysis.