Topic

Jae-Kwan Ryu

Also published under:Jaekwan Ryu

Affiliation

Unmanned/Intelligent Robotic Systems R&D, LIG Nex1, Seongnam, Republic of Korea

Topic

Autonomous Surface Vehicles,Object Detection,Obstacle Avoidance,Radar Data,2D Images,3D Coordinates,3D Data,3D Images,3D Information,3D Point,3D Sensor,Accurate Estimation,Accurate Understanding,Action Recognition,Action Recognition Model,Anatomical Approach,Autonomous Vehicles,Center Of Pressure,Centroid Point,Cloud Data,Clustering Algorithm,Common Sensors,Continuous Distribution,Control Unit,Coordinate System,Cost Function,Cost Matrix,Current Frame,Data Augmentation,Data Generation,Data Integration,Deep Learning,Distance Filter,Dynamic Obstacles,Dynamic Time Warping,Dynamic Time Warping Distance,Electronic Charts,Energy Levels,Exact Location,Expensive Equipment,Extended Kalman Filter,Field Experiments,Filtering Method,Filtering Threshold,Foot Pressure Sensors,Fréchet Inception Distance,Generative Adversarial Networks,Generative Adversarial Networks Model,Generative Adversarial Networks Training,Grid Cells,

Biography

Jae-Kwan Ryu received the B.E. degree in nuclear engineering and the M.S. degree in mechanical engineering from Kyung Hee University, South Korea, and the Ph.D. degree in robotic engineering from JAIST, Japan. Since 2009, he has been with the Unmanned System, LIG Nex1 Co., Ltd. His research interests include robotics and automation, mechatronics, intelligent control, and biomechanics.