ScholarWorks@Korea University: Doh, Nak ju

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Doh, Nak ju (도락주)

Institute of Convergence Science

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Tel 02-3290-4822
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SLAM:4||sensor fusion:3||Laser radar:3||mobile robot:2||multirobots:2||Simultaneous localization and mapping:2||Mapping:2||wireless network:2||3D modeling:2||Location awareness:2||multihop.:2||Threedimensional displays:2||ad hoc network:2||Calibration:2||Cameras:2||sensors:2||EKFSLAM:2||Particle filter:2||localization:2||robotics:2||SfM:2||Calibration and identification:2||Extraterrestrial measurements:1||Kalman filters:1||Real world reconstruction:1||society of automotive engineers:1||Plane registration:1||path planning:1||multilevel building reconstruction:1||Uncertainty:1||Indoor Environment:1||Estimation:1||mapping:1||segmentation and categorization:1||calibration:1||3D deep learning:1||3D indoor LiDAR data set:1||RRT*:1||RRT*AB:1||Practical algorithm:1||Complete coverage path:1||Mobile robots:1||EVSE:1||IEC 61851:1||time index:1||Monte Carlo Localization (MCL):1||system identification:1||Image inpainting:1||sequencebased visual localization (SVL):1||Faces:1||Semantics:1||Visual localization:1||perception:1||Optimal path:1||Cluttered environment:1||Directional feature:1||3dimensional map:1||incable control box:1||Robust PCA:1||flexibility:1||Observation Model:1||Consistency:1||Mobile robot localization:1||Wheel slippage:1||Construction factory:1||navigation:1||programming and algorithm theory:1||point cloud processing:1||covariance matrices:1||LiDAR:1||Pose estimation:1||Camera relocalization:1||Camera pose estimation:1||Range sensing:1||sensor networks:1||simultaneous localization and mapping (SLAM):1||Spline curve parameterization:1||robotic hand:1||Wheeled mobile robot:1||topology:1||Multiview inpainting:1||boundary consistency:1||Photorealistic modeling:1||cuboid modeling:1||Pipelines:1||Indoor environment:1||Normal estimation:1||pose estimation:1||Lightweight algorithm:1||range sensing:1||Localization:1||SAE J1772:1||Differential constraints:1||robotic grasper:1||software architecture:1||H_∞ filter:1||sonar feature detection:1||stereo camera:1||object removal:1||Photogrammetry:1||Sensors:1||visual localization dataset:1||Visual positioning systems:1||Place recognition:1||Clutter:1||object detection:1||3D sensor system:1||robustness:1||plane feature:1||Simultaneous localization and mapping (SLAM):1||Twoway proximity search:1||RGBD:1||electric vehicles:1||SAE:1||Hierarchical segmentation:1||Plane extraction:1||Photorealistic:1||humanoid navigation:1||Computational fluid dynamics:1||Conceptual model:1||visual object recognition:1||data analysis:1||automatic 3D modeling:1||geometric primitive:1||Visualization:1||Autonomous vehicle navigation:1||robotics in construction:1||degeneracy:1||inertial measurement unit (IMU)Kinect integration:1||Intelligent sampling:1||Indoor environments:1||Boustrophedon motions:1||ICCB:1||Rapidlyexploring random tree:1||Enveloping:1||pick and place:1||Humanrobot interaction (HRI):1||3 dimensional:1||Online mapping:1||Bipedal locomotion:1||Observation likelihood model:1||ultrasonic sensor:1||generative adversarial network:1||color consistency:1||structured 3D reconstruction:1||Linear programming:1||Robot vision systems:1||robot vision systems:1||point cloud:1||visual localization:1||Image retrieval:1||Complexity theory:1||Robot path planning:1||electric vehicle supply equipment:1||standards:1||UL 2594:1||Mobile robot:1||selfstability:1||humanoid robot:1||Kalman Filter:1||Automated construction:1||Semantic segmentation:1||object mesh:1||Point cloud compression:1||Indoor spaces:1||

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