Inventor · Pohang-si, KR

Donghun Yeo

148Patents
13h-index
16Co-inventors
72Inventor score

Filing activity: Oct 3, 2017 → Jan 10, 2020

Most-cited inventions

PatentTitleAreaCited byStatus
US10373026B1 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 Physics 36 Active
US10628688B1 Learning method and learning device, and testing method and testing device for detecting parking spaces by using point regression results and relationship between points to thereby provide an auto-parking system Physics 36 Active
US10726279B1 Method and device for attention-driven resource allocation by using AVM and reinforcement learning to thereby achieve safety of autonomous driving Physics 35 Active
US10776673B2 Learning method and learning device for sensor fusion to integrate information acquired by radar capable of distance estimation and information acquired by camera to thereby improve neural network for supporting autonomous driving, and testing method and testing device using the same Physics 35 Active
US10169679B1 Learning method and learning device for adjusting parameters of CNN by using loss augmentation and testing method and testing device using the same Physics 25 Active
US10229346B1 Learning method, learning device for detecting object using edge image and testing method, testing device using the same Physics 22 Active
US9934440B1 Method for monitoring blind spot of monitoring vehicle and blind spot monitor using the same Physics 20 Active
US10408939B1 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 Physics 19 Active
US10007865B1 Learning method and learning device for adjusting parameters of CNN by using multi-scale feature maps and testing method and testing device using the same Physics 18 Active
US10504027B1 CNN-based learning method, learning device for selecting useful training data and test method, test device using the same Physics 17 Active
US9947228B1 Method for monitoring blind spot of vehicle and blind spot monitor using the same Performing Operations; Transporting 16 Active
US10095977B1 Learning method and learning device for improving image segmentation and testing method and testing device using the same Physics 16 Active
US10311336B1 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 Physics 15 Active
US9946960B1 Method for acquiring bounding box corresponding to an object in an image by using convolutional neural network including tracking network and computing device using the same Physics 12 Active
US10223614B1 Learning method, learning device for detecting lane through classification of lane candidate pixels and testing method, testing device using the same Physics 12 Active
US10269125B1 Method for tracking object by using convolutional neural network including tracking network and computing device using the same Physics 10 Active
US10503174B1 Method and device for optimized resource allocation in autonomous driving on the basis of reinforcement learning using data from lidar, radar, and camera sensor Physics 10 Active
US10311337B1 Method and device for providing integrated feature map using ensemble of multiple outputs from convolutional neural network Physics 10 Active
US10089743B1 Method for segmenting an image and device using the same Physics 9 Active
US10043113B1 Method and device for generating feature maps by using feature upsampling networks Physics 9 Active
US10300851B1 Method for warning vehicle of risk of lane change and alarm device using the same Physics 8 Active
US10540572B1 Method for auto-labeling training images for use in deep learning network to analyze images with high precision, and auto-labeling device using the same Physics 8 Active
US10282864B1 Method and device for encoding image and testing method and testing device using the same Physics 8 Active
US10304009B1 Learning method and testing method for object detector based on R-CNN, and learning device and testing device using the same Physics 8 Active
US10423860B1 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 Electricity 8 Active

Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.