SubTGraph synthesizes controllable large-scale subterranean worlds from user constraints and DARPA tiles via Dijkstra to enable statistical validation of robotic autonomy stacks.
Surface reconstruction from point clouds: A survey and a benchmark.IEEE transac- tions on pattern analysis and machine intelligence, 2024
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SubTGraph: Large-Scale Subterranean Environment Synthesis with Controllable Topological Variability for Robotic Autonomy Validation
SubTGraph synthesizes controllable large-scale subterranean worlds from user constraints and DARPA tiles via Dijkstra to enable statistical validation of robotic autonomy stacks.