publications

All Publications

  1. 25_xpress.png
    XPRESS: X-band Radar Place Recognition via Elliptical Scan Shaping
    Hyesu Jang, Wooseong Yang, Ayoung Kim, Dongje Lee, and Hanguen Kim
    IEEE Robotics and Automation Letters (RA-L) , 2025
    arXiv HTML
  2. 25_moana.png
    MOANA: Multi-Radar Dataset for Maritime Odometry and Autonomous Navigation Application
    Hyesu Jang*, Wooseong Yang*, Hanguen Kim, Dongje Lee, Yongjin Kim, Jinbum Park, Minsoo Jeon, Jaeseong Koh, Yejin Kang, Minwoo Jung, Sangwoo Jung, and Ayoung Kim
    International Journal of Robotics Research (IJRR) , 2025
    arXiv HTML Video Website
  3. 25_gorio.png
    Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process
    Wooseong Yang, Hyesu Jang, and Ayoung Kim
    In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), May 2025
    arXiv HTML Video Code
  4. 25_hercules.png
    HeRCULES: Heterogeneous Radar Dataset in Complex Urban Environment for Multi-session Radar SLAM
    Hanjun Kim, Minwoo Jung, Chiyun Noh, Sangwoo Jung, Hyunho Song, Wooseong Yang, Hyesu Jang, and Ayoung Kim
    In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) , May 2025
    arXiv HTML Video Code Website
  5. 24_lodestar.png
    LodeStar: Maritime Radar Descriptor for Semi-Direct Radar Odometry
    Hyesu Jang, Minwoo Jung, Myung-Hwan Jeon, and Ayoung Kim
    IEEE Robotics and Automation Letters (RA-L) , 2024
    arXiv HTML Code
  6. 24_radarcal.png
    Imaging radar and LiDAR image translation for 3-DOF extrinsic calibration
    Sangwoo Jung, Hyesu Jang, Minwoo Jung, Ayoung Kim, and Myung-Hwan Jeon
    Intelligent Service Robotics (ISR) , 2024
    HTML
  7. 24_radar.png
    A new wave in robotics: Survey on recent mmwave radar applications in robotics
    Kyle Harlow, Hyesu Jang, Timothy D Barfoot, Ayoung Kim, and Christoffer Heckman
    IEEE Transactions on Robotics (T-RO) , 2024
    HTML
  8. 2D Ego-Motion with Yaw Estimation using Only mmWave Radars via Two-Way weighted ICP
    Hojune Kim, Hyesu Jang, and Ayoung Kim
    In ICRA Workshop on Radars in Robotics, May 2024
    arXiv
  9. 23_raplace.png
    RaPlace: Place Recognition for Imaging Radar using Radon Transform and Mutable Threshold
    Hyesu Jang, Minwoo Jung, and Ayoung Kim
    In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , Oct 2023
    arXiv HTML Video Code
  10. 22_sonarseg.png
    Data augmentation using image translation for underwater sonar image segmentation
    Eon-ho Lee, Byungjae Park, Myung-Hwan Jeon, Hyesu Jang, Ayoung Kim, and Sejin Lee
    Plos one, 2022
    HTML
  11. Review on a RADAR SLAM
    Hyesu Jang and Ayoung Kim
    Robot and Human (KROS Issue), 2022
  12. 22_radarrot.png
    Radar-based Angular Correction for Tightly-coupled LiDAR Odometry
    Hyesu Jang, Minwoo Jung, Sangwoo Jung, and Ayoung Kim
    In IROS Workshop on PNARUDE, May 2022
    PDF
  13. Intensity and ambient enhanced lidar-inertial slam for unstructured construction environment
    Minwoo Jung, Sangwoo Jung, Hyesu Jang, and Ayoung Kim
    The Journal of Korea Robotics Society, 2021
    HTML
  14. 21_optacou.png
    Multi-session Underwater Pose-graph SLAM using Inter-session Opti-acoustic Two-view Factor
    Hyesu Jang, SungHo Yoon, and Ayoung Kim
    In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) , May 2021
    HTML
  15. 20_dehaze.png
    Underwater Image Dehazing via Unpaired Image-to-image Translation
    Younggun Cho*, Hyesu Jang*, Ramavtar Malav, Gaurav Pandey, and Ayoung Kim
    International Journal of Control, Automation and Systems (IJCAS) , 2020
    HTML
  16. CNN-based Opti-Acoustic transformation for underwater feature matching
    Hyesu Jang, Yeongjun Lee, Giseop Kim, and Ayoung Kim
    The Journal of Korea Robotics Society, 2020
    HTML
  17. 20_auv.png
    Study on the training effectiveness of deep learning with synthesized underwater sonar image using pix2pix and fcn
    Eon-Ho Lee, MyungHwan Jeon, Hyesu Jang, Byungjae Park, Ayoung Kim, Sejin Lee, and others
    In 2020 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV), 2020
    HTML
  18. I-LOAM: Intensity Enhanced LiDAR Odometry and Mapping
    Yeong Sang Park, Hyesu Jang, and Ayoung Kim
    In Proceedings of the IEEE International Conference on Ubiquitous Robots (UR) , Jun 2020
    HTML
  19. Synthesizing image and automated annotation tool for CNN based under water object detection
    MyungHwan Jeon, Yeongjun Lee, Young-Sik Shin, Hyesu Jang, Taekyeong Yeu, and Ayoung Kim
    The Journal of Korea Robotics Society, 2019
  20. 19_pose.png
    Underwater object detection and pose estimation using deep learning
    MyungHwan Jeon, Yeongjun Lee, Young-Sik Shin, Hyesu Jang, and Ayoung Kim
    IFAC-PapersOnLine, 2019
  21. Underwater Object Detection and Pose Estimation using Deep Learning
    Myung-Hwan Jeon, Yeongjun Lee, Young-Sik Shin, Hyesu Jang, and Ayoung Kim
    In IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles (CAMS), Sep 2019
    HTML
  22. 19_cnn.png
    CNN-based Approach for Opti-Acoustic Reciprocal Feature Matching
    Hyesu Jang, Giseop Kim, Yeongjun Lee, and Ayoung Kim
    In ICRA Workshop on Underwater Robotics Perception, May 2019
    PDF
  23. Object-informed Link Proposal via CNN for Underwater SLAM using Imaging Sonar
    Hyesu Jang and Ayoung Kim
    In IROS Poster Session, Oct 2018