Publication | Closed Access
Test Your SLAM! The SubT-Tunnel dataset and metric for mapping
45
Citations
10
References
2020
Year
Unknown Venue
Artificial IntelligenceEngineeringField RoboticsIntelligent RoboticsDepth MapSocial SciencesMappingRescue RobotGeospatial MappingDarpa SubterraneanData ScienceGround TruthSubt-tunnel DatasetRobot LearningComputational GeometryRobotics PerceptionAutomatic NavigationCartographySurveyingGeographyComputer ScienceAutonomous NavigationAutomationRobotic Mapping AlgorithmsRoboticsAutomated Mining
This paper presents an approach and introduces new open-source tools that can be used to evaluate robotic mapping algorithms. Also described is an extensive subterranean mine rescue dataset based upon the DARPA Subterranean (SubT) challenge including professionally surveyed ground truth. Finally, some commonly available approaches are evaluated using this metric.
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