Younggun Cho
Assistant Professor
Inha University
Department of Electrical
Education
Ph. D. in Civil and Environmental Engineering with Robotics Program
E-mail: yg.cho [at] inha.ac.kr, yg.b.cho [at] gmail.com
Research Interest
Long-term Autonomy
SLAM in extreme environments
Learning-based map representation
Vision for navigation
Robust Sensing
Visibility enhancement
Thermal imaging in turbid medium
Informative feature selection
News
The new paper of "HDMI-Loc (Localization on HD-map)" is accepted for IEEE RA-L (Robotics and Automation Letters) 2020
The new paper of "Proactive camera attributes control" is accepted for IEEE T-RO (IEEE Transactions on Robotics) 2020
The new paper of deep LiDAR odometry is accepted for ICRA 2020
The new paper of underwater image enhancement is accepted for International Journal of Control, Automation and Systems (IJCAS) 2020
Best Paper Award at ICRA Dataset Generation and Benchmarking of SLAM Algorithms for Robotics and VR/AR workshop (ICRA 2019)
Personal Projects
The curated list of awesome SLAM data sets
The curated list of dehazing methods and datasets
Publications
International Journals
IEEE Transactions on Robotics (T-RO), 2020
Joowan Kim, Younggun Cho and Ayoung Kim
Underwater Image Dehazing via Unpaired Image-to-image Translation
International Journal of Control, Automation and Systems (IJCAS), 2020
Younggun Cho*, Hyesu Jang*, Ram Malav, Grurav Pandey and Ayoung Kim (*: Equal Contribution)
Complex Urban Dataset with Multi-level Sensors from Highly Diverse Urban Environments
International Journal of Robotics Research (IJRR), 2019
Jinyong Jeong, Younggun Cho, Young-Sik Shin, Hyunchul Roh and Ayoung Kim
Validation of a Multi–Sensor-Based Kiosk for Short Physical Performance Battery
Journal of the American Geriatrics Society (JAGS) , 2019
HeeWon Jung, Hyunchul Roh, Younggun Cho, Jinyong Jeong, YoungSik Shin, JaeYoung Lim, Jack M Guralnik, and Jihong Park
Model Assisted Multi-band Fusion for Single Image Enhancement and Applications to Robot Vision
IEEE Robotics and Automation Letters (RA-L with IROS), 2018
Younggun Cho, Jinyong Jeong and Ayoung Kim
Channel Invariant Online Visibility Enhancement for Visual SLAM in a Turbid Environment
Journal of Field Robotics (JFR), 2018
Younggun Cho and Ayoung Kim
Accurate Mobile Urban Mapping via Digital Map-Based SLAM
MDPI SENSORS, 2016
Hyunchul Roh, Jinyong Jeong, Younggun Cho and Ayoung Kim
International Conferences
Unsupervised Geometry-Aware Deep LiDAR Odometry
IEEE International Conference on Robotics and Automation (ICRA), 2020
Younggun Cho, Giseop Kim and Ayoung Kim
DeepLO: Geometry-Aware Deep LiDAR Odometry
Arxiv preprint, 2019
Younggun Cho, Giseop Kim and Ayoung Kim
ViViD : Vision for Visibility Dataset (Best Poster Award)
ICRA Workshop on Dataset Generation and Benchmarking of SLAM Algorithms for Robotics and VR/AR , 2019
Alex Junho Lee, Younggun Cho, Sungho Yoon, Youngsik Shin and Ayoung Kim
IEEE International Conference on Robotics and Automation (ICRA), 2018
Jinyong Jeong, Younggun Cho, Young-Sik Shin, Hyunchul Roh and Ayoung Kim
Exposure Control using Bayesian Optimization based on Entropy Weighted Image Gradient
IEEE International Conference on Robotics and Automation (ICRA), 2018
Joowan Kim, Younggun Cho and Ayoung Kim
DejavuGAN: Multi-temporal Image Translation toward Long-term Robot Autonomy
ICRA Workshop on Long-term Autonomy and Deployment of Intelligent Robots in the Real-world, 2018
Younggun Cho, Jinyong Jeong, Youngsik Shin and Ayoung Kim
Visibility Enhancement for Underwater Visual SLAM based on Underwater Light Scattering Model
IEEE International Conference on Robotics and Automation (ICRA), 2017
Younggun Cho and Ayoung Kim
LiDAR Configuration Comparison for Urban Mapping System
IEEE Ubiquitous Robots and Ambient Intelligence (URAI), 2017
Joowan Kim, Jinyong Jeong, Young-Sik Shin, Younggun Cho, Hyunchul Roh and Ayoung Kim
Road-SLAM : Road Marking based SLAM with Lane-level Accuracy
IEEE Intelligent Vehicle Symposium (IV), 2017
Jinyong Jeong, Younggun Cho and Ayoung Kim
Online Depth Estimation and Application to Underwater Image Dehazing
IEEE/MTS OCEANS Conference and Exhibition (Oceans), 2016
Younggun Cho, Young-Sik Shin and Ayoung Kim
Estimation of Ambient Light and Transmission Map with Common Convolutional Architecture
IEEE/MTS OCEANS Conference and Exhibition (Oceans), 2016
Young-Sik Shin, Younggun Cho, Gaurav Pandey and Ayoung Kim