Santa Clara, CA, United States of America

Kai Ding

This inventor holds 29 USPTO granted patents and 8 published patent applications and 5 EPO patents, primarily in Autonomous Vehicle Prediction. Top assignee: Waymo LLC. Active years: 2021-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kai Ding. Retrieved from https://idiyas.com/inventor/kai-ding

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 29 

% Patents Active = 100.0

 

Average Co-Inventor Count = 2.8

ph-index = 3

Forward Citations = 33(Granted Patents)


Company Filing History:


Years Active: 2021-2025

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Areas of Expertise:
Behavior Prediction
Trajectory Analysis
Agent Prioritization
Occupancy Probabilities
Lane Driving Prediction
Emergency Vehicle Detection
Knowledge Distillation
Neural Network Training
Dynamic Candidate Intents
Predictive Modeling
Railway Agent Behavior
Curb Driving Behavior
29 patents (USPTO):Explore Patents

Title: Innovator Spotlight: Kai Ding from Santa Clara, CA

Introduction

Kai Ding, an accomplished inventor based in Santa Clara, California, has garnered a notable reputation in the field of autonomous vehicle technology. With an impressive portfolio of 25 patents, he has significantly contributed to innovative methods and systems that enhance the functionality and safety of autonomous driving.

Latest Patents

Ding's latest patents showcase his expertise in knowledge distillation for autonomous vehicles. One of his groundbreaking inventions involves methods, systems, and apparatuses, including computer programs encoded on computer storage media, dedicated to performing knowledge distillation for autonomous vehicles. This innovative method includes obtaining sensor data that characterizes the environment, captured by on-board vehicle sensors. By processing these data inputs with a neural network, Ding's approach generates an agent discomfort prediction, providing insights into the comfort levels of surrounding agents in the environment.

In addition, Ding has developed a system for verifying predicted trajectories using a grid-based approach. This invention involves receiving sensor data for an object alongside a plethora of predicted trajectories, which represent possible future locations of the object. By creating a grid that corresponds to geographic areas and determining probabilities of the object's movements, a heat map is generated. This vital information allows for controlling the vehicle’s autonomous driving mode, optimizing safety and efficiency.

Career Highlights

Currently, Kai Ding is an integral part of Waymo LLC, where he leverages his extensive knowledge to innovate in the self-driving sector. His contributions have set benchmarks in vehicle control systems and environmental perception, proving crucial as autonomous technology advances.

Collaborations

Working alongside esteemed colleagues such as Khaled Refaat and Stephane Ross, Ding has fostered a collaborative environment that encourages the sharing of innovative ideas. Together, these professionals are pushing the boundaries of what is possible in autonomous vehicle technology.

Conclusion

With a robust patent portfolio and a dedication to advancing autonomous vehicle technology, Kai Ding stands at the forefront of innovation in Santa Clara, California. His remarkable inventions not only contribute to the safety and efficiency of self-driving vehicles but also position him as a leader and visionary in the industry. The future of autonomous driving looks promising with innovators like Ding paving the way.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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