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For the Inventor, By the Inventor

Mountain View, CA, United States of America

Shunsho Kaku

This inventor holds 18 USPTO granted patents and 5 published patent applications. Top assignees: Toyota Research Institute, Inc., Toyota Jidosha Kabushiki Kaisha, Woven by Toyota, Inc.. Active years: 2022-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Shunsho Kaku. Retrieved from https://idiyas.com/inventor/shunsho-kaku

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 = 94.4

Average Co-Inventor Count = 3.3

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:

goldMedal15 out of 876 
 
Toyota Research Institute, Inc.
 patents
silverMedal3 out of 38,912 
 
Toyota Jidosha Kabushiki Kaisha
 patents
bronzeMedal3 out of 80 
 
Woven by Toyota, Inc.
 patents
where one patent can have more than one assignee

Years Active: 2022-2026

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18 patents (USPTO):Explore Patents
1. 12613107 - Systems and methods for estimating lane boundaries using a slicing model (2026-04-28),
2. 12511916 - Traffic light active learning pipeline (2025-12-30),
3. 12488536 - Systems and methods for estimating lane elevation for generating 3D maps (2025-12-02),
4. 12469184 - System and method for unstructured lane estimation (2025-11-11),
5. 12437558 - End-to-end signalized intersection transition state estimator with scene graphs over semantic keypoints (2025-10-07),
6. 12307786 - Systems and methods for detecting lanes using a segmented image and semantic context (2025-05-20),
7. 12227204 - Systems and methods for detecting roadway lane boundaries (2025-02-18),
8. 12159465 - End-to-end learned lane boundary detection based on a transformer (2024-12-03),
9. 12158925 - Learning-based online mapping (2024-12-03),
10. 12060079 - Autonomous driving requirements deficiency determination (2024-08-13),
11. 11954919 - Traffic light active learning pipeline (2024-04-09),
12. 11753012 - Systems and methods for controlling the operation of an autonomous vehicle using multiple traffic light detectors (2023-09-12),
13. 11741724 - Configuring a neural network to produce an electronic road map that has information to distinguish lanes of a road (2023-08-29),
14. 11704385 - Traffic light detection auto-labeling and federated learning based on vehicle-to-infrastructure communications (2023-07-18),
15. 11527156 - Light emitting component-wise traffic light state, signal, and transition estimator (2022-12-13),

Title: The Innovative Mind of Shunsho Kaku: Revolutionizing Lane Detection Technology

Introduction

Shunsho Kaku is an accomplished inventor based in Mountain View, CA, known for his significant contributions to roadway lane detection technologies. With a total of 12 patents to his name, Kaku continues to push the boundaries of innovation in the automotive industry, particularly through his work on advanced systems designed to enhance vehicle navigation and safety.

Latest Patents

Among Kaku's latest patented inventions are groundbreaking methods for detecting roadway lane boundaries. One such patented system involves receiving image data of a roadway segment and historical vehicle trajectory data. Kaku's innovative approach generates a heatmap that indicates how vehicle trajectories coincide with specific pixels in the image data. This composite image is essential for training neural networks, which are deployed in vehicles to accurately detect lane boundaries and generate useful map data.

Another notable patent focuses on end-to-end learned lane boundary detection based on a transformer. This method incorporates gridding RGB images from cameras on vehicles into various patches, enabling the encoding of image patch embeddings into relevant categories. By generating lane boundary keypoints from this data, Kaku’s invention enhances vehicle autonomy and safety through real-time lane detection capabilities.

Career Highlights

Shunsho Kaku has made remarkable strides in the automotive research sector during his career. He has worked with prominent companies such as the Toyota Research Institute and Toyota Motor Corporation, where he applied his expertise to create innovative solutions for lane detection and vehicle navigation.

Collaborations

Throughout his career, Kaku has collaborated with talented individuals, including Kun-Hsin Chen and Ryan W. Wolcott. These collaborations have contributed to the development of advanced systems and methodologies, reflecting the collective effort towards enhancing transportation technology.

Conclusion

With a rich portfolio of patents and a commitment to developing cutting-edge technologies in the automotive sector, Shunsho Kaku is a prominent inventor whose work on lane detection systems is paving the way for safer and more efficient roadways. His contributions demonstrate the potential of innovation to improve vehicle operation and enhance driving experiences.

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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