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For the Inventor, By the Inventor

Yongin-si, South Korea

Seungwoo Yoo

USPTO Granted Patents = 12

Average Co-Inventor Count = 3.4

ph-index = 4

Forward Citations = 29(Granted Patents)


Location History:

  • Seoul, KR (2015 - 2017)
  • Seongnam, KR (2018)
  • Sungnam, KR (2018)
  • Yongin-si, KR (2020 - 2023)

Company Filing History:

goldMedal12 out of 41,326 
 
Qualcomm Incorporated
 patents

Years Active: 2015-2024

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12 patents (USPTO):Explore Patents
1. 12112552 - Lane marker recognition (2024-10-08),
2. 11600080 - Lane marker detection (2023-03-07),
3. 11475678 - Lane marker detection and lane instance recognition (2022-10-18),
4. 11410040 - Efficient dropout inference for bayesian deep learning (2022-08-09),
5. 11372404 - Systems and methods for adaptive model processing (2022-06-28),
6. 11195028 - Real-time simultaneous detection of lane marker and raised pavement marker for optimal estimation of multiple lane boundaries (2021-12-07),
7. 10867189 - Systems and methods for lane-marker detection (2020-12-15),
8. 10152540 - Linking thumbnail of image to web page (2018-12-11),
9. 10002451 - Text-based image resizing (2018-06-19),
10. 9916431 - Context-based access verification (2018-03-13),
11. 9667880 - Activating flash for capturing images with text (2017-05-30),
12. 9073493 - Method and apparatus for adjusting view mirror in vehicle (2015-07-07),

Title: Innovations of Seungwoo Yoo in Lane Marker Detection

Introduction

Seungwoo Yoo is a prominent inventor based in Yongin-si, South Korea, known for his significant contributions to the field of lane marker detection. With a total of 12 patents to his name, Yoo has been at the forefront of developing advanced techniques that enhance vehicle navigation and safety.

Latest Patents

Yoo's latest patents focus on innovative methods for lane marker recognition and detection. One of his notable inventions involves generating a set of feature tensors by processing an input image using a convolutional neural network. This process leads to the creation of localizations, horizontal positions, and end positions, which are crucial for determining lane marker positions. Another patent outlines a method for lane marker detection that includes receiving an input image and processing it through a specialized lane marker detection model. This model generates multiple lane marker representations, ultimately outputting a set of lane markers based on the processed data.

Career Highlights

Seungwoo Yoo is currently employed at Qualcomm Incorporated, where he continues to innovate in the realm of image processing and machine learning. His work has significantly impacted the automotive industry, particularly in enhancing the capabilities of autonomous vehicles.

Collaborations

Yoo has collaborated with notable colleagues, including Hee-Seok Lee and Duck Hoon Kim, contributing to the advancement of technology in lane marker detection.

Conclusion

Seungwoo Yoo's innovative work in lane marker detection exemplifies the intersection of technology and safety in modern transportation. His contributions are paving the way for more reliable and efficient navigation systems.

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