Issued Patents 2019
Showing 25 most recent of 66 patents
| Patent # | Title | Co-Inventors | Date |
|---|---|---|---|
| 10509987 | Learning method and learning device for object detector based on reconfigurable network for optimizing customers' requirements such as key performance index using target object estimating network and target object merging network, and testing method and testing device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-12-17 |
| 10503174 | Method and device for optimized resource allocation in autonomous driving on the basis of reinforcement learning using data from lidar, radar, and camera sensor | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-12-10 |
| 10504027 | CNN-based learning method, learning device for selecting useful training data and test method, test device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-12-10 |
| 10496899 | Learning method and learning device for adjusting parameters of CNN in which residual networks are provided for meta learning, and testing method and testing device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-12-03 |
| 10482584 | Learning method and learning device for removing jittering on video acquired through shaking camera by using a plurality of neural networks for fault tolerance and fluctuation robustness in extreme situations, and testing method and testing device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-11-19 |
| 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, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-11-12 |
| 10474713 | Learning method and learning device using multiple labeled databases with different label sets and testing method and testing device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-11-12 |
| 10474930 | Learning method and testing method for monitoring blind spot of vehicle, and learning device and testing device using the same | Kye-Hyeon Kim, Yongjoong Kim, Insu Kim, Hak-Kyoung Kim, Woonhyun Nam +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, Hak-Kyoung Kim, Woonhyun Nam +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, Hak-Kyoung Kim, Woonhyun Nam +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, Hak-Kyoung Kim, Woonhyun Nam +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, Hak-Kyoung Kim, Woonhyu Nam +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, Hak-Kyoung Kim, Woonhyun Nam +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, Hak-Kyoung Kim, Woonhyun Nam +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, Hak-Kyoung Kim, Woonhyun Nam +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, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-09-24 |
| 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, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-09-10 |
| 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, Hak-Kyoung Kim, Woonhyun Nam +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, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-09-10 |
| 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, Hak-Kyoung Kim, Woonhyun Nam +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, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-09-03 |
| 10402724 | Method for acquiring a pseudo-3D box from a 2D bounding box by regression analysis and learning device and testing device using the same | Yongjoong Kim, Woonhyun Nam, SukHoon Boo, Myungchul Sung, Donghun Yeo +4 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, Hak-Kyoung Kim, Woonhyun Nam +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, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-09-03 |
| 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, Hak-Kyoung Kim, Woonhyun Nam +7 more | 2019-09-03 |