2 citations · 2 across the 4 of their papers we have counts for
4 papers
RadLoc: Radar-based 3-DoF Global Localization via Fast, Robust, and Lightweight Spatial Descriptor Across Diverse Environmental Scenarios
Hogyun Kim, Jiwon Choi, Jungwoo Lee +1
While global localization using spinning radar has gained attention for its robustness to adverse weather and challenging environments, many studies have focused on individual comp…
MSG-Loc: Multi-Label Likelihood-based Semantic Graph Matching for Object-Level Global Localization
Gihyeon Lee, Jungwoo Lee, Juwon Kim +2
Robots are often required to localize in environments with unknown object classes and semantic ambiguity. However, when performing global localization using semantic objects, high…
Salience-guided Ground Factor for Robust Localization of Delivery Robots in Complex Urban Environments
Jooyong Park, Jungwoo Lee, Euncheol Choi +1
In urban environments for delivery robots, particularly in areas such as campuses and towns, many custom features defy standard road semantic categorizations. Addressing this chall…
Mesh-based Photorealistic and Real-time 3D Mapping for Robust Visual Perception of Autonomous Underwater Vehicle
Jungwoo Lee, Younggun Cho
This paper proposes a photorealistic real-time dense 3D mapping system that utilizes a learning-based image enhancement method and mesh-based map representation. Due to the charact…