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Gyeongbuk, South Korea

Stradvision, Inc.

USPTO Granted Patents = 162

EPO Patents = 111

Trademarks = 4

Forward Citations = 790

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27 inventors (with patents filed for the assignee):

Hongmo Je (154 out of 159 patents)

Yongjoong Kim (153 out of 155 patents)

Wooju Ryu (152 out of 155 patents)

4. Hojin Cho (147 out of 150 patents)

5. SukHoon Boo (145 out of 147 patents)

6. Taewoong Jang (145 out of 147 patents)

7. Woonhyun Nam (145 out of 149 patents)

8. Myungchul Sung (144 out of 146 patents)

9. Donghun Yeo (144 out of 146 patents)

10. Kyungjoong Jeong (144 out of 146 patents)

11. Kye-Hyeon Kim (132 out of 144 patents)

12. Hak-Kyoung Kim (130 out of 133 patents)

13. Insu Kim (81 out of 82 patents)

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

15. Hyungsoo Lee (48 out of 52 patents)

Core Competencies:

Autonomous Vehicles

Deep Learning

Reinforcement Learning

Object Detection

Sensor Fusion

V2X Communication

Continual Learning

Neural Networks

Adaptive Learning

Explainable AI

Trajectory Analysis

Emergency Vehicle Detection

162 patents: Sort by Forward Citations

1. 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),

2. 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),

3. 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),

4. 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),

5. 11157813 - Method and device for on-vehicle active learning to be used for training perception network of autonomous vehicle (2021-10-26),

6. 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),

7. 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),

8. 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),

9. 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),

10. 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),

11. 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),

12. 11017673 - Method and device for learning generating lane departure warning (LDW) alarm by referring to information on driving situation to be used for ADAS, V2X or driver safety required to satisfy level 4 and level 5 of autonomous vehicles (2021-05-25),

13. 11010668 - Method and device for attention-driven resource allocation by using reinforcement learning and V2X communication to thereby achieve safety of autonomous driving (2021-05-18),

14. 10984262 - Learning method and testing method for monitoring blind spot of vehicle, and learning device and testing device using the same (2021-04-20),

15. 10970645 - Method for explainable active learning, to be used for object detector, by using Bayesian dual autoencoder and active learning device using the same (2021-04-06),

StradVision, Inc. is a leading provider of AI-based camera perception software solutions for autonomous vehicles. StradVision's deep learning-based algorithm enables vehicles to recognize and understand road conditions, obstacles, and pedestrians, enhancing safety and reliability. With a proven track record in the automotive industry, StradVision continues to push the boundaries of advanced driver-assistance systems (ADAS) and autonomous driving technologies.

This text is generated by artificial intelligence and may not be accurate.

Company Badge

USPTO Data Jan 1 1976 - Dec 9 2025

162 Patents

#1 in Gyeongbuk

#131 in South Korea

#4,947 in the World

Gyeongbuk, South Korea

Stradvision, Inc.

Forward Citations = 790

27 inventors:

Hongmo Je (154 out of 159 patents)

Yongjoong Kim (153 out of 155 patents)

Wooju Ryu (152 out of 155 patents)

4. Hojin Cho (147 out of 150 patents)

5. SukHoon Boo (145 out of 147 patents)

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