A passage-aware structural mapping approach for RGB-D VSLAM detects doors and openings via joint geometric-semantic-topological fusion and adds passage abstractions to vS-Graphs scene graphs.
Khronos: A unified approach for spatio-temporal metric-semantic slam in dynamic environments
3 Pith papers cite this work. Polarity classification is still indexing.
fields
cs.RO 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
A robot infers human world belief states from observations in dynamic 3D household environments to enable fluent human-robot teamwork.
Semantic relations between objects and structural elements filter candidate graph matches in SLAM, cutting ambiguity and computation in symmetric indoor environments.
citing papers explorer
-
Passage-Aware Structural Mapping for RGB-D Visual SLAM
A passage-aware structural mapping approach for RGB-D VSLAM detects doors and openings via joint geometric-semantic-topological fusion and adds passage abstractions to vS-Graphs scene graphs.
-
Inferring World Belief States in Dynamic Real-World Environments
A robot infers human world belief states from observations in dynamic 3D household environments to enable fluent human-robot teamwork.
-
Robust Graph Matching through Semantic Relationship Generation for SLAM
Semantic relations between objects and structural elements filter candidate graph matches in SLAM, cutting ambiguity and computation in symmetric indoor environments.