url-kaist/TRAVEL
TRAVEL
Traversable ground and above-ground object segmentation using graph representation of 3D LiDAR scans
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url-kaist
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Created
Feb 24, 2022
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README Summary
TRAVEL for RA-L'22 w/ IROS Option # Best Paper Award winner from RA-L 2022 Official page of "TRAVEL: Traversable Ground and Above-Ground Object Segmentation using Graph Representation for 3D LiDAR Scans", which is accepted by RA-L with IROS'22 option.
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3D Point Cloud Processing3D Scene UnderstandingGeometric SegmentationGraph-based Machine LearningLiDAR Data AnalysisSpatial Graph Neural NetworksTraversability Analysis
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3D Point Cloud Processing3D Scene UnderstandingGeometric SegmentationGraph-based Machine LearningLiDAR Data AnalysisSpatial Graph Neural NetworksTraversability AnalysisAutomationForkedMusic TechPoint Cloud / 3D VisionPythonResearch / PapersRobotics
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Updated 1 years ago
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research- Quality
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Categories
Dev Tools & AutomationPrimaryLearning ResourcesIndustry: Audio & MusicGenerative MediaComputer VisionRoboticsSearch & Knowledge
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C++100.0%
Timeline
- Project created
- Feb 24, 2022
- Forked
- Mar 13, 2026
- Your last push
- 1 years ago
- Upstream last push
- 24 days ago
- Tracked since
- Dec 16, 2024
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