Raleigh, NC, United States of America

William Knox Ladd

USPTO Granted Patents = 5 

 

Average Co-Inventor Count = 1.4

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2015-2025

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5 patents (USPTO):Explore Patents

Title: William Knox Ladd: Innovator in Autonomous Driving Technology

Introduction

William Knox Ladd is a notable inventor based in Raleigh, NC (US). He has made significant contributions to the field of autonomous driving technology, holding a total of 5 patents. His work focuses on enhancing the capabilities of neural networks in vehicle control systems.

Latest Patents

One of Ladd's latest patents is a system and method for neural network-based autonomous driving. This innovative system comprises at least one neural network (NN) that generates outputs for controlling the autonomous driving of a vehicle. The system features a main data path that routes bulk sensor data to the NN, as well as a low-latency data path that reduces latency compared to the main data path. The low-latency data path routes limited sensor data to the NN, which uses this data to improve its processing of the bulk sensor data. This enhancement allows the system to identify safety hazards more quickly, enabling the vehicle to divert and avoid potential collisions.

Career Highlights

Throughout his career, William Knox Ladd has worked with prominent companies such as Marvell Asia Pte., Ltd. and Qualcomm Incorporated. His experience in these organizations has contributed to his expertise in developing advanced technologies for autonomous systems.

Collaborations

Ladd has collaborated with notable professionals in the field, including Glenn Murphy and Jingcheng Zhuang. These partnerships have likely enriched his work and led to innovative advancements in his projects.

Conclusion

William Knox Ladd is a distinguished inventor whose work in neural network-based autonomous driving technology is paving the way for safer and more efficient vehicle control systems. His contributions are significant in the ongoing evolution of autonomous driving solutions.

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