Young-Sik Shin

According to our database, Young-Sik Shin authored at least 16 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

MSG-Loc: Multi-Label Likelihood-Based Semantic Graph Matching for Object-Level Global Localization.

Gihyeon Lee, Jungwoo Lee, Juwon Kim, Young-Sik Shin, Younggun Cho

IEEE Robotics Autom. Lett., February, 2026

TherA: Thermal-Aware Visual-Language Prompting for Controllable RGB-to-Thermal Infrared Translation.

Dong-Guw Lee, Tai Hyoung Rhee, Hyunsoo Jang, Young-Sik Shin, Ukcheol Shin, Ayoung Kim

CoRR, February, 2026

Uni-Mapper: Unified Mapping Framework for Multi-Modal LiDARs in Complex and Dynamic Environments.

Gilhwan Kang, Hogyun Kim, Byunghee Choi, Seokhwan Jeong, Young-Sik Shin, Younggun Cho

IEEE Trans. Intell. Veh., January, 2026

2025

Object-Aware Impedance Control for Human-Robot Collaborative Task With Online Object Parameter Estimation.

Jinseong Park, Young-Sik Shin, Sanghyun Kim

IEEE Trans Autom. Sci. Eng., 2025

Leveraging falling acceleration and body part clustering for physics-based human fall detection with millimeter wave radar.

Hyunsuk Huh, Iljoo Jeong, Anna Lee, Seungchul Lee, Young-Sik Shin

Eng. Appl. Artif. Intell., 2025

DiTer++: Diverse Terrain and Multi-Modal Dataset for Multi-Robot SLAM in Multi-Session Environments.

Juwon Kim, Hogyun Kim, Seokhwan Jeong, Young-Sik Shin, Younggun Cho

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2022

Nonparametric Background Model-Based LiDAR SLAM in Highly Dynamic Urban Environments.

Joohyun Park, Younggun Cho, Young-Sik Shin

IEEE Trans. Intell. Transp. Syst., 2022

ViViD++ : Vision for Visibility Dataset.

Alex Junho Lee, Younggun Cho, Young-Sik Shin, Ayoung Kim, Hyun Myung

IEEE Robotics Autom. Lett., 2022

2021

3D ego-Motion Estimation Using low-Cost mmWave Radars via Radar Velocity Factor for Pose-Graph SLAM.

Yeong Sang Park, Young-Sik Shin, Joowan Kim, Ayoung Kim

IEEE Robotics Autom. Lett., 2021

2020

DVL-SLAM: sparse depth enhanced direct visual-LiDAR SLAM.

Young-Sik Shin, Yeong Sang Park, Ayoung Kim

Auton. Robots, 2020

PhaRaO: Direct Radar Odometry using Phase Correlation.

Yeong Sang Park, Young-Sik Shin, Ayoung Kim

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Sparse Depth Enhanced Direct Thermal-Infrared SLAM Beyond the Visible Spectrum.

Young-Sik Shin, Ayoung Kim

IEEE Robotics Autom. Lett., 2019

Complex urban dataset with multi-level sensors from highly diverse urban environments.

Jinyong Jeong, Younggun Cho, Young-Sik Shin, Hyun Chul Roh, Ayoung Kim

Int. J. Robotics Res., 2019

2018

Direct Visual SLAM Using Sparse Depth for Camera-LiDAR System.

Young-Sik Shin, Yeong Sang Park, Ayoung Kim

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Complex Urban LiDAR Data Set.

Jinyong Jeong, Younggun Cho, Young-Sik Shin, Hyun Chul Roh, Ayoung Kim

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

LiDAR configuration comparison for urban mapping system.

Joowan Kim, Jinyong Jeong, Young-Sik Shin, Younggun Cho, Hyun Chul Roh, Ayoung Kim

Proceedings of the 14th International Conference on Ubiquitous Robots and Ambient Intelligence, 2017