For the Inventor, By the Inventor

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Gyeongbuk, South Korea

Stradvision, Inc.

Calculating rank

USPTO Granted Patents = 165

EPO Patents = 136

Trademarks = 4

Forward Citations = 936

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28 inventors (with patents filed for the assignee):

Hongmo Je (155 out of 159 patents)

Yongjoong Kim (154 out of 155 patents)

Wooju Ryu (154 out of 155 patents)

4. Hojin Cho (148 out of 150 patents)

5. SukHoon Boo (146 out of 147 patents)

6. Taewoong Jang (146 out of 149 patents)

7. Woonhyun Nam (146 out of 149 patents)

8. Myungchul Sung (145 out of 146 patents)

9. Donghun Yeo (145 out of 146 patents)

10. Kyungjoong Jeong (145 out of 146 patents)

11. Kye-Hyeon Kim (133 out of 144 patents)

12. Hak-Kyoung Kim (131 out of 133 patents)

13. Insu Kim (83 out of 83 patents)

14. Myeong-Chun Lee (48 out of 49 patents)

15. Hyungsoo Lee (48 out of 52 patents)

Core Competencies:

Autonomous Driving

Neural Networks

Object Detection

Reinforcement Learning

Sensor Fusion

Deep Learning

V2X Communication

Continual Learning

ADAS

Image Processing

Machine Learning

Training Data

165 patents: Sort by Forward Citations

1. 12705853 - Method for labeling by automatically creating pseudo 3D bounding boxes corresponding to objects and computing device using the same (2026-08-11),

2. 12639827 - Method for estimating motion of object based on vision sensor and object motion estimating device using the same (2026-05-26),

3. 12597273 - Method for providing auto labeling service to generate training data and server using the same (2026-04-07),

4. 11461653 - Learning method and learning device for CNN using 1xK or Kx1 convolution to be used for hardware optimization, and testing method and testing device using the same (2022-10-04),

5. 11315021 - Method and device for on-device continual learning of a neural network which analyzes input data, and method and device for testing the neural network to be used for smartphones, drones, vessels, or military purpose (2022-04-26),

6. 11254331 - Learning method and learning device for updating object detector, based on deep learning, of autonomous vehicle to adapt the object detector to driving circumstance, and updating method and updating device using the same (2022-02-22),

7. 11250298 - Methods for training and testing perception network by using images obtained from multiple imaging devices having diverse specifications and learning device and testing device using the same (2022-02-15),

8. 11203361 - Method for performing on-device learning of machine learning network on autonomous vehicle by using multi-stage learning with adaptive hyper-parameter sets and device using the same (2021-12-21),

9. 11157813 - Method and device for on-vehicle active learning to be used for training perception network of autonomous vehicle (2021-10-26),

10. 11132607 - Method for explainable active learning, to be used for object detector, by using deep encoder and active learning device using the same (2021-09-28),

11. 11113574 - Methods for performing self-supervised learning of deep-learning based detection network by using deep Q-network and devices using the same (2021-09-07),

12. 11087175 - Learning method and learning device of recurrent neural network for autonomous driving safety check for changing driving mode between autonomous driving mode and manual driving mode, and testing method and testing device using them (2021-08-10),

13. 11080544 - Method and device for calibrating pitch of camera on vehicle and method and device for continual learning of vanishing point estimation model to be used for calibrating the pitch (2021-08-03),

14. 11074507 - Method for performing adjustable continual learning on deep neural network model by using selective deep generative replay module and device using the same (2021-07-27),

15. 11074480 - Learning method and learning device for supporting reinforcement learning by using human driving data as training data to thereby perform personalized path planning (2021-07-27),

Company Overview

Stradvision, Inc. is a technology company based in Gyeongbuk, South Korea, specializing in autonomous vehicle technology. The company focuses on developing advanced solutions for autonomous driving, leveraging neural networks and deep learning to enhance object detection and sensor fusion capabilities. Stradvision's expertise extends to V2X communication and reinforcement learning, positioning it as a key player in the evolving landscape of smart transportation and continual learning systems for vehicles.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

165 Patents

#1 in Gyeongbuk

#136 in South Korea

#5,009 in the World

Gyeongbuk, South Korea

Stradvision, Inc.

Forward Citations = 936

28 inventors:

Hongmo Je (155 out of 159 patents)

Yongjoong Kim (154 out of 155 patents)

Wooju Ryu (154 out of 155 patents)

4. Hojin Cho (148 out of 150 patents)

5. SukHoon Boo (146 out of 147 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Stradvision, Inc.. Retrieved from https://idiyas.com/company/stradvision

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

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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