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For the Inventor, By the Inventor

Cambridge, MA, United States of America

John J Leonard

This inventor holds 18 USPTO granted patents and 6 published patent applications, primarily in Autonomous Vehicle Technology. Top assignees: Toyota Research Institute, Inc., Massachusetts Institute of Technology, Nationaluniversity of Ireland, Maynooth. Active years: 2016-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: John J Leonard. Retrieved from https://idiyas.com/inventor/john-j-leonard-m0r1f8gm

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

USPTO Granted Patents = 18 

% Patents Active = 77.8

Average Co-Inventor Count = 4.4

ph-index = 3

Forward Citations = 32(Granted Patents)


Location History:

  • Cambridge, MA (US) (2021)
  • Newton, MA (US) (2016 - 2024)

Company Filing History:

goldMedal14 out of 879 
 
Toyota Research Institute, Inc.
 patents
silverMedal8 out of 8,594 
 
Massachusetts Institute of Technology
 patents
bronzeMedal1 out of 36 
 
Nationaluniversity of Ireland, Maynooth
 patents
4. 1 out of 38,970 
 
Toyota Jidosha Kabushiki Kaisha
 patents
where one patent can have more than one assignee

Years Active: 2016-2025

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Areas of Expertise:
Behavior Planning
Trajectory Prediction
Situational Awareness
Risk Estimation
Diversity-Aware Motion
Parallel Autonomy
Sensor Data Collection
Driver Mode Switching
Agent Tracking
Turn Assistance
Scene Reconstruction
Inertial Odometry
18 patents (USPTO):Explore Patents
1. 12509072 - Task-informed behavior planning (2025-12-30),
2. 12168461 - Systems and methods for predicting the trajectory of a moving object (2024-12-17),
3. 11999356 - Cognitive heat map: a model for driver situational awareness (2024-06-04),
4. 11724691 - Systems and methods for estimating the risk associated with a vehicular maneuver (2023-08-15),
5. 11654934 - Methods and systems for diversity-aware vehicle motion prediction via latent semantic sampling (2023-05-23),
6. 11531865 - Systems and methods for parallel autonomy of a vehicle (2022-12-20),
7. 11475720 - Methods and systems for collecting sensor data according to a data collection configuration based on an estimated information gain (2022-10-18),
8. 11338856 - Systems and methods for switching between a driver mode and an autonomous driving mode for a vehicle (2022-05-24),
9. 11126187 - Systems and methods for controlling the operation of a vehicle (2021-09-21),
10. 11126186 - Systems and methods for predicting the trajectory of a road agent external to a vehicle (2021-09-21),
11. 11079758 - Systems and methods for incentivizing user-aided improvement of autonomous vehicle control systems and methods of operating a vehicle using the same (2021-08-03),
12. 10882522 - Systems and methods for agent tracking (2021-01-05),
13. 10752249 - Vehicle systems and methods for providing turn assistance at an intersection (2020-08-25),
14. 10633025 - Systems and methods for switching between a driver mode and an autonomous driving mode for a vehicle (2020-04-28),
15. 10477178 - High-speed and tunable scene reconstruction systems and methods using stereo imagery (2019-11-12),

Title: Innovations of John J Leonard

Introduction

John J Leonard is a prominent inventor based in Cambridge, MA, known for his significant contributions to robotics and machine learning. With a total of 17 patents to his name, Leonard has made remarkable advancements in predicting the trajectories of moving objects and enhancing driver situational awareness.

Latest Patents

One of his latest patents is titled "Systems and methods for predicting the trajectory of a moving object." This invention involves a robot that utilizes a probabilistic hybrid discrete-continuous automaton model learned as a deep neural network. The system infers a sequence of high-level discrete modes and associated low-level samples, which correspond to candidate maneuvers and trajectories for the moving object. The robot then adapts its operations based on the predicted trajectory.

Another notable patent is the "Cognitive heat map: a model for driver situational awareness." This system integrates a camera to capture environmental image data and a monitoring system to generate gaze sequences of a subject. A computing device processes this information using a machine learning model, resulting in the generation of a gaze probability density heat map and an attended awareness heat map.

Career Highlights

Throughout his career, John J Leonard has worked with esteemed organizations such as the Toyota Research Institute and the Massachusetts Institute of Technology. His work has significantly impacted the fields of robotics and artificial intelligence, showcasing his expertise and innovative thinking.

Collaborations

Leonard has collaborated with notable individuals in his field, including Luke S Fletcher and Stephen G McGill. These partnerships have contributed to the development of groundbreaking technologies and research.

Conclusion

John J Leonard's contributions to innovation in robotics and machine learning are noteworthy. His patents reflect a deep understanding of complex systems and a commitment to advancing technology for practical applications.

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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