International Journal (Selected)

  • Seungwon Song, Hyungtae Lim, Sungwook Jung, and Hyun Myung, “G2P-SLAM: Generalized RGB-D SLAM Framework for Mobile Robots in Low-Dynamic Environments,” IEEE Access, vol.10, pp.21370 - 21383, Feb. 2022.

  • Hyungtae Lim, Han-seok Ryu, Matthew Rhudy, Dongjin Lee, Dongjin Jang, Changho Lee, Youngmin Park, Wonkeun Youn, and Hyun Myung, “Deep Learning-aided Synthetic Airspeed Estimation of UAVs for Analytical Redundancy with a Temporal Convolutional Network,” IEEE Robotics and Automation Letters (RA-L), vol.7, no.1, pp. 17-24, Oct. 2021.

  • Changki Sung, Seulgi Jeon, Hyungtae Lim, and Hyun Myung, “What If There Was No Revisit? Large-Scale Graph-based SLAM with Traffic Sign Detection in an HD Map Using LiDAR Inertial Odometry,” Journal of Intelligent Service Robotics, pp. 1-10, Nov. 2021.

  • Hyungtae Lim, Minho Oh, and Hyun Myung, “Patchwork: Concentric Zone-based Region-wise Ground Segmentation with Ground Likelihood Estimation Using a 3D LiDAR Sensor,” IEEE Robotics and Automation Letters (RA-L) (with IROS option), vol.6, no.4, pp.6458-6465, Jun. 2021.

  • Wonkeun Youn, HyungtaeLim, Hyoung Sik Choi, Matthew B. Rhudy, Hyeok Ryu, Sungyug Kim, andHyun Myung, “State Estimation of HALE UAV with Deep Learning-aided Virtual AOA/SSA Sensorfor Analytical Redundancy,” IEEE Robotics and Automation Letters (RA-L), 2021.

  • HyungtaeLim, Sungwon Hwang, and Hyun Myung, “ERASOR: Egocentric Ratio of Pseudo Occupancy-based Dynamic Object Removal for Static 3D Point Cloud Map Building,” IEEE Robotics and Automation Letters (RA-L) (with ICRA option), 2021.

International Conference (Selected)

  • Hyungtae Lim, Suyong Yeon, Soohyun Ryu, Yonghan Lee, Youngji Kim, Jaeseong Yun, Euigon Jung, Donghwan Lee, and Hyun Myung, “A Single Correspondence Is Enough: Robust Global Registration to Avoid Degeneracy in Urban Environments,” in Proc. IEEE International Conference on Robotics and Automation (ICRA), Philadelphia, USA, May, 2022.

  • Sungwon Hwang, Hyungtae Lim, and Hyun Myung, “Equivariance-bridged SO(2)-Invariant Representation Learning using Graph Convolutional Network,” Accepted to BMVC 2021, Oct. 2021.

  • Hyungyu Lee, Myeongwoo Jeong, Chanyoung Kim, Hyungtae Lim, Changgue Park, Sungwon Hwang, and Hyun Myung†, “Low-level Pose Control of Tilting Multirotor for Wall Perching Tasks Using Renforcement Learning,” in Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Praque, Czech Republic, Sep. 2021.

  • Eungchang Mason Lee, Junho Choi, Hyungtae Lim, and Hyun Myung, “REAL: Rapid Exploration with Active Loop-Closing toward Large-Scale 3D Mapping using UAVs,” in Proc. of 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Praque, Czech Republic, Sep. 2021.

  • Hyungtae Lim, Hyeonjae Gil, and Hyun Myung, “MSDPN: Monocular Depth Prediction with Partial Laser Observation using Multi-stage Neural Networks,” in Proc. of IEEE/RSJ Int’l Conf. on Intelligent Robots and Systems (IROS), Las Vages, USA, Oct. 25-29, 2020.

  • Hyungtae Lim, Sungwon Hwang, Sungjae Shin, and Hyun Myung, “Normal Distributions Transform is Enough: Real-time 3D Scan Matching for Pose correction of Mobile Robot Under Large Odometry Uncertainties,” in Proc. of Int’l Conf. on Control, Automation and Systems (ICCAS), Oct. 13-16, 2020. (Received Student Best Paper Award)

  • Hyungtae Lim, Changgue Park, and Hyun Myung, “RONet: Real-time Range-only Indoor Localization via Stacked Bidirectional LSTM with Residual Attention,” in Proc. of IEEE/RSJ Int’l Conf. on Intelligent Robots and Systems (IROS), pp.3241-3247, Macau, China, Nov.15-18, 2019.

  • Hyungtae Lim, Jungmo Koo, Jieum Hyun, and Hyun Myung, “Recurrent Neural Networks for Range-based Indoor Robot Localization”, in Proc. of IEEE/RSJ Int’l Conf. on Intelligent Robots and Systems (IROS), Madrid, Spain, Oct.1 - 5, 2018.