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For the Inventor, By the Inventor

Cambridge, MA, United States of America

Samuel English Anthony

This inventor holds 22 USPTO granted patents and 3 published patent applications, primarily in Autonomous Vehicles. Top assignees: Perceptive Automata Inc., Harvard College. Active years: 2017-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Samuel English Anthony. Retrieved from https://idiyas.com/inventor/samuel-english-anthony

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

USPTO Granted Patents = 22 

% Patents Active = 100.0

Average Co-Inventor Count = 2.3

ph-index = 6

Forward Citations = 245(Granted Patents)


Location History:

  • Cambridge, MA (US) (2017 - 2024)
  • Somerville, MA (US) (2021 - 2024)

Company Filing History:

goldMedal17 out of 24 
 
Perceptive Automata Inc.
 patents
silverMedal5 out of 3,078 
 
Harvard College
 patents

Years Active: 2017-2024

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Areas of Expertise:
Human Interaction Prediction
Machine Learning
Traffic Modeling
Autonomous Navigation
Neural Networks
Traffic Entities
Automatic Braking
Scenario Identification
Graphical User Interface
Evaluation Metrics
22 patents (USPTO):Explore Patents
1. 11987272 - System and method of predicting human interaction with vehicles (2024-05-21),
2. 11981352 - System and method of predicting human interaction with vehicles (2024-05-14),
3. 11919545 - Scenario identification for validation and training of machine learning based models for autonomous vehicles (2024-03-05),
4. 11840261 - Ground truth based metrics for evaluation of machine learning based models for predicting attributes of traffic entities for navigating autonomous vehicles (2023-12-12),
5. 11772663 - Neural network based modeling and simulation of non-stationary traffic objects for testing and development of autonomous vehicle systems (2023-10-03),
6. 11753046 - System and method of predicting human interaction with vehicles (2023-09-12),
7. 11733703 - Automatic braking of autonomous vehicles using machine learning based prediction of behavior of a traffic entity (2023-08-22),
8. 11667301 - Symbolic modeling and simulation of non-stationary traffic objects for testing and development of autonomous vehicle systems (2023-06-06),
9. 11520346 - Navigating autonomous vehicles based on modulation of a world model representing traffic entities (2022-12-06),
10. 11518413 - Navigation of autonomous vehicles using turn aware machine learning based models for prediction of behavior of a traffic entity (2022-12-06),
11. 11467579 - Probabilistic neural network for predicting hidden context of traffic entities for autonomous vehicles (2022-10-11),
12. 11126889 - Machine learning based prediction of human interactions with autonomous vehicles (2021-09-21),
13. D928804 - Display panel of a programmed computer system with a graphical user interface (2021-08-24),
14. D928803 - Display panel of a programmed computer system with a graphical user interface (2021-08-24),
15. D928177 - Display panel of a programmed computer system with a graphical user interface (2021-08-17),

Title: Innovations and Contributions of Samuel English Anthony

Introduction

Samuel English Anthony, located in Cambridge, MA, is an accomplished inventor with an impressive portfolio of 22 patents. His work primarily focuses on predictive technologies related to human interaction with vehicles, showcasing his commitment to enhancing transportation safety and efficiency through innovative solutions.

Latest Patents

Among Samuel's latest inventions is a groundbreaking patent titled “System and Method of Predicting Human Interaction with Vehicles.” This system utilizes a computing device that analyzes both images and video segments of road scenes from the perspective of a road participant. By generating stimulus data based on these inputs, the device transmits this information to a user interface. It collects response data that reflects actions or potential actions of other participants in the scene. The data is then aggregated to create statistical models that predict user behavior in various scenarios, ultimately aiming to improve safety and interaction design within vehicular environments.

Career Highlights

Samuel has had a notable career, contributing significantly to his field through his role at prominent organizations such as Perceptive Automata Inc. and the President and Fellows of Harvard College. His expertise has been instrumental in developing technologies that push the boundaries of human-vehicle interaction.

Collaborations

Throughout his career, Samuel has worked alongside talented individuals, including Avery Wagner Faller and Kshitij Misra. These collaborations have fostered a rich environment of innovation, leading to advancements that benefit both the academic and practical realms of vehicle interaction technologies.

Conclusion

Samuel English Anthony stands out as a leading inventor in the field of predictive technologies for human interaction with vehicles. His numerous patents reflect his innovative approach and dedication to improving transportation systems. With a solid grounding in research and practical applications, his contributions continue to shape how we understand and interact with the vehicles around us.

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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