Jeffrey Ling

Title: Innovations by Jeffrey Ling

Introduction

Jeffrey Ling is an accomplished inventor based in Brooklyn, NY. He holds 2 patents that showcase his expertise in machine learning and autonomous vehicle technology. His innovative work has contributed significantly to advancements in behavior understanding and trajectory planning for autonomous systems.

Latest Patents

One of Jeffrey Ling's latest patents is titled "Machine learning models for behavior understanding." This patent describes a method for predicting the behavior of agents in an environment using a three-dimensional (3D) input tensor. The method involves generating an encoded representation of the 3D input tensor through an encoder neural network and processing it with a decoder neural network to produce a 4D output tensor.

Another notable patent is "Agent trajectory planning using neural networks." This invention focuses on planning the future trajectory of an autonomous vehicle by processing various types of scene data. The method includes obtaining scene data, receiving route data, and using encoder and decoder networks to generate a trajectory planning output that predicts the likelihood of successful navigation.

Career Highlights

Jeffrey Ling has worked with prominent companies in the technology sector, including Waymo LLC and Google Inc. His experience in these organizations has allowed him to develop cutting-edge technologies that enhance the capabilities of autonomous systems.

Collaborations

Throughout his career, Jeffrey has collaborated with notable professionals in the field, including David Joseph Weiss and Jonathon Shlens. These collaborations have further enriched his work and contributed to the success of his inventions.

Conclusion

Jeffrey Ling's contributions to the fields of machine learning and autonomous vehicle technology are significant. His innovative patents reflect his dedication to advancing technology and improving the understanding of agent behavior in complex environments.