-
Korea University, ISR Lab (Intelligent Systems and Robotics Lab)
- Seoul, South Korea
-
11:34
(UTC +09:00)
Highlights
- Pro
Pinned Loading
-
urban-traversability-dataset
urban-traversability-dataset PublicThe dataset for the paper 'Learning self-supervised traversability with navigation experiences of mobile robots: A risk-aware self-training approach'
CMake 33
-
awesome-traversability-analysis
awesome-traversability-analysis Public😎 A curated list of papers, tools, and libraries for traversability analysis and terrain classification in robotic navigation
-
height_mapping
height_mapping PublicRange sensor-based 2.5D gridded height mapping (Digital Elevation Model) for urban terrain navigation of mobile robots
-
dijkstra_planner
dijkstra_planner PublicThe global planner used in the paper 'ODS-Bot: Mobile robot navigation for outdoor delivery services' (IEEE Access, 2022)
C++ 12
-
dwa_planner
dwa_planner PublicThe local planner used in the paper 'ODS-Bot: Mobile Robot Navigation for Outdoor Delivery Services' (IEEE Access, 2022)
If the problem persists, check the GitHub status page or contact support.