Sukhoon Boo

Method and device for detecting parking area using semantic segmentation in automatic parking system

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

Method and device for alerting abnormal driver situation detected by using humans' status recognition via V2V connection

Method and device for detecting emergency vehicles in real time and planning driving routes to cope with situations to be expected to be occurred by the emergency vehicles

Method and device for supporting administrators to processes of object detectors to provide logical driving

Method and device for short-term path planning of autonomous driving through information fusion by using V2X communication and image processing

Learning method for supporting safer autonomous driving without danger of accident by estimating motions of surrounding objects through fusion of information from multiple sources, learning device, testing method and testing device using the same

Method and device for attention-driven resource allocation by using reinforcement learning and V2X communication to thereby achieve safety of autonomous driving

Method for integrating driving images acquired from vehicles performing cooperative driving and driving image integrating device using same

Learning method and learning device for learning automatic labeling device capable of auto-labeling image of base vehicle using images of nearby vehicles, and testing method and testing device using the same

Method for providing robust object distance estimation based on camera by performing pitch calibration of camera more precisely with fusion of information acquired through camera and information acquired through V2V communication and device using the same

Method and device for switching driving modes to support subject vehicle to perform platoon driving without additional instructions from driver during driving

Method for providing autonomous driving service platform to be used for supporting autonomous driving of vehicles by using competitive computing and information fusion, and server using the same

Method and device for providing personalized and calibrated adaptive deep learning model for the user of an autonomous vehicle

Learning method and learning device for providing functional safety by warning driver about potential dangerous situation by using explainable AI which verifies detection processes of autonomous driving network, and testing method and testing device using the same

Method and device for adjusting driver assistance apparatus automatically for personalization and calibration according to driver's status

Learning method and learning device for updating HD map by reconstructing 3D space by using depth estimation information and class information on each object, which have been acquired through V2X information integration technique, and testing method and testing device using the same

Method and device for providing information for evaluating driving habits of driver by detecting driving scenarios occurring during driving

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

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

Learning method and learning device for switching modes of autonomous vehicle based on on-device standalone prediction to thereby achieve safety of autonomous driving, and testing method and testing device using the same

Method and device for ego-vehicle localization to update HD map by using V2X information fusion

Learning method and learning device for determining whether to switch mode of vehicle from manual driving mode to autonomous driving mode by performing trajectory-based behavior analysis on recent driving route

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

Learning method and learning device of pedestrian detector for robust surveillance based on image analysis by using GAN and testing method and testing device using the same

Method and device for on-device continual learning of neural network which analyzes input data by optimized sampling of training images, and method and device for testing the neural network for smartphones, drones, vessels, or military purpose

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

Learning method and testing method for monitoring blind spot of vehicle, and learning device and testing device using the same

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

Learning method and learning device for improving segmentation performance to be used for detecting road user events using double embedding configuration in multi-camera system and testing method and testing device using the same

Method and computing device for generating image data set to be used for hazard detection and learning method and learning device using the same

Learning method and learning device for neural network at adaptive learning rate, and testing method and testing device using the same

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

Method and device for optimized resource allocation in autonomous driving on the basis of reinforcement learning using data from lidar, radar, and camera sensor

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

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

Learning method and testing method for monitoring blind spot of vehicle, and learning device and testing device using the same

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

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

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

Post-processing method and device for detecting lanes to plan the drive path of autonomous vehicle by using segmentation score map and clustering map

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Method and device for detecting lane elements to plan the drive path of autonomous vehicle by using a horizontal filter mask, wherein the lane elements are unit regions including pixels of lanes in an input image

Method and device for merging object detection information detected by each of object detectors corresponding to each camera nearby for the purpose of collaborative driving by using V2X-enabled applications, sensor fusion via multiple vehicles

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

Learning method and learning device for runtime input transformation of real image on real world into virtual image on virtual world, to be used for object detection on real images, by using cycle GAN capable of being applied to domain adaptation

Method and device for generating test patterns and selecting optimized test patterns among the test patterns in order to verify integrity of convolution operations to enhance fault tolerance and fluctuation robustness in extreme situations

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

Learning method and testing method for object detector based on R-CNN, and learning device and testing device using the same

Method for warning vehicle of risk of lane change and alarm device using the same

Learning method and testing method for R-CNN based object detector, and learning device and testing device using the same

Method for tracking object by using convolutional neural network including tracking network and computing device using the same

Method for acquiring a pseudo-3D box from a 2D bounding box by regression analysis and learning device and testing device using the same

Learning method and learning device for adjusting parameters of CNN by using loss augmentation and testing method and testing device using the same

Learning method and learning device for improving image segmentation and testing method and testing device using the same

Method for segmenting an image and device using the same

Method and device for performing activation and convolution operation at the same time and learning method and learning device for the same

Method and device for performing activation and convolution operation at the same time and learning method and learning device for the same

Method and device for generating feature maps by using feature upsampling networks

Method for tracking and segmenting a target object in an image using Markov Chain, and device using the same

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

Learning method and learning device for improving performance of CNN by using feature upsampling networks, and testing method and testing device using the same

Method and device for constructing a table including information on a pooling type and testing method and testing device using the same

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

Method for monitoring blind spot of vehicle and blind spot monitor using the same

Learning method and learning device for improving image segmentation and testing method and testing device using the same

Method for monitoring blind spot of monitoring vehicle and blind spot monitor using the same