2023.12 |
|
Min-Seon Chae, Min-Ho Ha, Tae-Hyoung Park |
LSTM based Forecasting and Evaluation of Sensor Signals Containing Anomaly Data |
Journal of Institute of Control, Robotics and Systems |
vol.29, no.12 |
pp.1060-1066 |
2023.11 |
|
Chan-Hoe Kim, Min-Ho Ha, Sung-Chul Yun, Tae-Hyoung Park |
AI-based Restoration Reflection Region Method for 3D Automatic Optical Inspection |
Journal of Institute of Control, Robotics and Systems |
vol.29, no.11 |
pp.936-944 |
2022.11 |
|
Jae-Seol Lee and Tae-Hyoung Park |
Transformable Dilated Convolution by Distance for LiDAR Semantic Segmentation |
IEEE ACCESS |
vol.10, no.- |
pp.125102-125111 |
2022.09 |
|
Taek-Lim Kim,Tae-Hyoung Park |
Camera-LiDAR Fusion Method with Feature Switch layer for object Detection Networks |
Sensors |
vol.22, no.19 |
pp.1-15 |
2022.03 |
|
Gi-Hwan Jo, Tae-Hyoung Park |
Deep Reinforcement Learning-based Decision Making of Lane Change Considering Rear Vehicle Deceler |
Journal of Institute of Control, Robotics and Systems |
vol.28, no.6 |
pp.602-607 |
2022.02 |
|
Jeon-Hyeok Lee, Tae-Hyoung Park |
Optical Flow based Search Space Generation Method for Robust object Tracking of Indoor Mobile |
Journal of Institute of Control, Robotics and Systems |
vol.26, no.2 |
pp.- |
2022.02 |
|
Jun-Kyung Wang, Gyu-Ho Eoh, Tae-Hyoung Park |
Job Shop Scheduling Using Genetic and Heuristic Exchange Algorithms for AGVs |
Journal of Institute of Control, Robotics and Systems |
vol.28, no.2 |
pp.191-201 |
2021.10 |
|
Gyu-Ho Eoh,Tae-Hyoung Park |
Automatic Curriculum Design for object Transportation based on Deep Reinforcement Learning |
IEEE Access |
vol.9, no.- |
pp.137281-137294 |
2021.09 |
|
Jae-Seol Lee and Tae-Hyoung Park |
Fast Road Detection by CNN-based Camera–Lidar Fusion and Spherical Coordinate Transformation |
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS |
vol.22, no.9 |
pp.5802-5810 |
2021.07 |
|
Gyu-Ho Eoh and Tae-Hyoung Park |
Cooperative object Transportation Using Curriculum-based Deep Reinforcement Learning |
Sensors |
vol.21, no.14 |
pp.1-17 |