Mountain View, CA, United States of America

Khaled Refaat

This inventor holds 35 USPTO granted patents and 10 published patent applications and 3 EPO patents, primarily in Autonomous Vehicle Prediction. Top assignee: Waymo LLC. Active years: 2020-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Khaled Refaat. Retrieved from https://idiyas.com/inventor/khaled-refaat

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

USPTO Granted Patents = 35 

% Patents Active = 85.7

 

Average Co-Inventor Count = 2.3

ph-index = 4

Forward Citations = 44(Granted Patents)


Company Filing History:


Years Active: 2020-2026

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Areas of Expertise:
Machine Learning
Trajectory Prediction
Behavior Prediction
Neural Networks
Autonomous Vehicles
3D Human Keypoints
Anomaly Estimation
Agent Prioritization
Occupancy Probabilities
Intent Signals
Dynamic Neural Networks
35 patents (USPTO):Explore Patents

Title: Profile of Khaled Refaat: Innovator in Autonomous Driving Technologies

Introduction: Khaled Refaat is a notable inventor based in Mountain View, California, with a remarkable portfolio of 24 patents. His expertise lies in the field of autonomous driving, where he has made significant strides in enhancing the safety and efficiency of self-driving vehicles.

Latest Patents: Khaled's recent patents demonstrate his innovative approach to vehicle control in autonomous driving modes. One of his notable inventions focuses on "Verifying predicted trajectories using a grid-based approach." This technology involves receiving sensor data for an object and multiple predicted trajectories that signify potential future locations. By generating a grid with cells corresponding to geographic areas and calculating the likelihood of the object entering each area, Khaled contributes to the development of a heat map that facilitates the control of vehicles in autonomous mode.

Another significant patent is centered on "Predicting behaviors of road agents using intermediate intention signals." This invention utilizes various subsystems within an autonomous vehicle to process sensor signals, detect agents nearby, and predict their future behaviors. By integrating intention and behavior prediction, Khaled's work allows for informed driving decisions, ultimately improving the vehicle's responsiveness to dynamic road environments.

Career Highlights: Khaled Refaat has made substantial contributions to the field of autonomous technology through his role at Waymo, LLC. His extensive knowledge and research have positioned him as a pivotal figure in the development of cutting-edge driving solutions.

Collaborations: Throughout his career, Khaled has collaborated with prominent professionals in the industry, including coworkers Kai Ding and Stephane Ross. These partnerships foster a creative environment that encourages the exchange of ideas and further advancements in autonomous vehicle technology.

Conclusion: Khaled Refaat's innovative work in the realm of autonomous driving and his portfolio of patents underscore his status as a leading inventor. His contributions not only advance the field but also pave the way for safer and more reliable self-driving vehicles, making a lasting impact on the future of transportation.

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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