3 papers
cs.RO2025
Uni-Mapper: Unified Mapping Framework for Multi-modal LiDARs in Complex and Dynamic Environments
Gilhwan Kang, Hogyun Kim, Byunghee Choi +3
The unification of disparate maps is crucial for enabling scalable robot operation across multiple sessions and collaborative multi-robot scenarios. However, achieving a unified ma…
cs.RO2025
ReFeree: Radar-Based Lightweight and Robust Localization using Feature and Free space
Hogyun Kim, Byunghee Choi, Euncheol Choi +1
Place recognition plays an important role in achieving robust long-term autonomy. Real-world robots face a wide range of weather conditions (e.g. overcast, heavy rain, and snowing)…
cs.RO2024
ReFeree: Radar-based efficient global descriptor using a Feature and Free space for Place Recognition
Byunghee Choi, Hogyun Kim, Younggun Cho
Radar is highlighted for robust sensing capabilities in adverse weather conditions (e.g. dense fog, heavy rain, or snowfall). In addition, Radar can cover wide areas and penetrate…