Issued Patents All Time
Showing 76–100 of 133 patents
| Patent # | Title | Co-Inventors | Date |
|---|---|---|---|
| 10474543 | Method and device for economizing computing resources to be used during a process of verification of convolutional parameters using test pattern to enhance fault tolerance and fluctuation robustness in extreme situations | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Woonhyun Nam, SukHoon Boo +7 more | 2019-11-12 |
| 10467503 | Method and device for generating image data set to be used for learning CNN capable of detecting obstruction in autonomous driving circumstance | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Woonhyun Nam, SukHoon Boo +7 more | 2019-11-05 |
| 10460210 | Method and device of neural network operations using a grid generator for converting modes according to classes of areas to satisfy level 4 of autonomous vehicles | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Woonhyun Nam, SukHoon Boo +7 more | 2019-10-29 |
| 10452980 | Learning method and learning device for extracting feature from input image by using convolutional layers in multiple blocks in CNN, resulting in hardware optimization which allows key performance index to be satisfied, and testing method and testing device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Woonhyun Nam, SukHoon Boo +7 more | 2019-10-22 |
| 10445611 | Method for detecting pseudo-3D bounding box to be used for military purpose, smart phone or virtual driving based-on CNN capable of converting modes according to conditions of objects and device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Woonhyu Nam, SukHoon Boo +7 more | 2019-10-15 |
| 10438082 | Learning method, learning device for detecting ROI on the basis of bottom lines of obstacles and testing method, testing device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Woonhyun Nam, SukHoon Boo +7 more | 2019-10-08 |
| 10430691 | Learning method and learning device for object detector based on CNN, adaptable to customers' requirements such as key performance index, using target object merging network and target region estimating network, and testing method and testing device using the same to be used for multi-camera or surround view monitoring | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Woonhyun Nam, SukHoon Boo +7 more | 2019-10-01 |
| 10423840 | Post-processing method and device for detecting lanes to plan the drive path of autonomous vehicle by using segmentation score map and clustering map | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Woonhyun Nam, SukHoon Boo +7 more | 2019-09-24 |
| 10423860 | Learning method and learning device for object detector based on CNN to be used for multi-camera or surround view monitoring using image concatenation and target object merging network, and testing method and testing device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Woonhyun Nam, SukHoon Boo +7 more | 2019-09-24 |
| 10408939 | Learning method and learning device for integrating image acquired by camera and point-cloud map acquired by radar or LiDAR corresponding to image at each of convolution stages in neural network and testing method and testing device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Woonhyun Nam, SukHoon Boo +7 more | 2019-09-10 |
| 10410352 | Learning method and learning device for improving segmentation performance to be used for detecting events including pedestrian event, vehicle event, falling event and fallen event using edge loss and test method and test device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Woonhyun Nam, SukHoon Boo +7 more | 2019-09-10 |
| 10410120 | Learning method and testing method of object detector to be used for surveillance based on R-CNN capable of converting modes according to aspect ratios or scales of objects, and learning device and testing device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Woonhyun Nam, SukHoon Boo +7 more | 2019-09-10 |
| 10402978 | Method for detecting pseudo-3D bounding box based on CNN capable of converting modes according to poses of objects using instance segmentation and device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Woonhyun Nam, SukHoon Boo +7 more | 2019-09-03 |
| 10402686 | Learning method and learning device for object detector to be used for surveillance based on convolutional neural network capable of converting modes according to scales of objects, and testing method and testing device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Woonhyun Nam, SukHoon Boo +7 more | 2019-09-03 |
| 10402692 | Learning method and learning device for fluctuation-robust object detector based on CNN using target object estimating network adaptable to customers' requirements such as key performance index, and testing device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Woonhyun Nam, SukHoon Boo +7 more | 2019-09-03 |
| 10402695 | Learning method and learning device for convolutional neural network using 1×H convolution for image recognition to be used for hardware optimization, and testing method and testing device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Woonhyun Nam, SukHoon Boo +7 more | 2019-09-03 |
| 10402977 | Learning method and learning device for improving segmentation performance in road obstacle detection required to satisfy level 4 and level 5 of autonomous vehicles using laplacian pyramid network and testing method and testing device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Woonhyun Nam, SukHoon Boo +7 more | 2019-09-03 |
| 10395140 | Learning method and learning device for object detector based on CNN using 1×1 convolution to be used for hardware optimization, and testing method and testing device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Woonhyun Nam, SukHoon Boo +7 more | 2019-08-27 |
| 10395392 | Learning method and learning device for strategic transforming RGB training image sets into non-RGB training image sets, to be used for learning object detection on objects of images in non-RGB format, by using cycle GAN, resulting in significantly reducing computational load and reusing data | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Woonhyun Nam, SukHoon Boo +7 more | 2019-08-27 |
| 10387754 | Learning method and learning device for object detector based on CNN using 1×H convolution to be used for hardware optimization, and testing method and testing device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Woonhyun Nam, SukHoon Boo +7 more | 2019-08-20 |
| 10387752 | Learning method and learning device for object detector with hardware optimization based on CNN for detection at distance or military purpose using image concatenation, and testing method and testing device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Woonhyun Nam, SukHoon Boo +7 more | 2019-08-20 |
| 10387753 | Learning method and learning device for convolutional neural network using 1×1 convolution for image recognition to be used for hardware optimization, and testing method and testing device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Woonhyun Nam, SukHoon Boo +7 more | 2019-08-20 |
| 10380724 | Learning method and learning device for reducing distortion occurred in warped image generated in process of stabilizing jittered image by using GAN to enhance fault tolerance and fluctuation robustness in extreme situations | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Woonhyun Nam, SukHoon Boo +7 more | 2019-08-13 |
| 10373025 | Method and device for verifying integrity of parameters of CNN by using test pattern to enhance fault tolerance and fluctuation robustness in extreme situations for functional safety | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Woonhyun Nam, SukHoon Boo +7 more | 2019-08-06 |
| 10373026 | Learning method and learning device for generation of virtual feature maps whose characteristics are same as or similar to those of real feature maps by using GAN capable of being applied to domain adaptation to be used in virtual driving environments | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Woonhyun Nam, SukHoon Boo +7 more | 2019-08-06 |