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Korea University, Intelligent Systems & Robotics Lab
- Seoul, South Korea
Highlights
- Pro
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urban-terrain-dataset
urban-terrain-dataset PublicThe dataset for the paper 'Learning self-supervised traversability with navigation experiences of mobile robots: A risk-aware self-training approach'
CMake 27
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awesome-traversability-analysis
awesome-traversability-analysis Public😎 A curated list of papers, tools, and libraries for traversability analysis and terrain classification in robotic navigation
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height_mapping
height_mapping PublicRange sensor-based 2.5D gridded height mapping (Digital Elevation Model) for urban terrain navigation of mobile robots
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dijkstra_planner
dijkstra_planner PublicThe global planner used in the paper 'ODS-Bot: Mobile robot navigation for outdoor delivery services' (IEEE Access, 2022)
C++ 10
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dwa_planner
dwa_planner PublicThe local planner used in the paper 'ODS-Bot: Mobile Robot Navigation for Outdoor Delivery Services' (IEEE Access, 2022)
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