Paul Carrington Foster

Title: Paul Carrington Foster: Sensor Data and Neural Network Innovations.

Introduction

Paul Carrington Foster is an inventor based in Mountain View, California. His patent work includes technologies for evaluating time-of-flight sensor measurements and processing sensor data for neural networks. He is associated with GM Cruise Holdings LLC and holds 3 patents.

Latest Patents

Foster’s recent patent work addresses sensor reliability and efficient neural network processing.

- **Precision prediction of time-of-flight sensor measurements.** This invention describes techniques for estimating the reliability of depth data captured by a time-of-flight camera. The process uses correlation samples and grayscale image data to determine the signal’s modulation amplitude and other relevant parameters, then assesses the reliability of the depth measurements.

- **Processing sensor data for neural networks.** This invention describes a method for handling sensor data as it arrives in sequential slices. It maps neural network operations and their dependencies, sends the slices and operation mapping to the network, and processes the data according to that mapping.

Career Highlights

Foster’s listed inventions focus on sensor systems and machine-learning workflows. His work connects the capture and evaluation of sensor data with neural network processing, areas relevant to advanced sensing and autonomous technology. He is associated with GM Cruise Holdings LLC.

Collaborations

Foster’s listed coworkers include Zhanping Xu and Kartheek Chandu. Their names appear alongside his work in the context of sensor and neural network technologies.

Conclusion

Paul Carrington Foster’s patent portfolio reflects a focus on assessing time-of-flight sensor data and organizing sensor inputs for neural networks, with applications relevant to advanced sensing systems.