CAVERS supplies 335 GB of multimodal cave sensor data with mm-accurate ground truth and benchmarks of seven SLAM algorithms to support research in challenging natural environments.
A flexible new technique for camera calibration
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A novel camera-RFID fusion framework with trajectory matching achieves reliable centimeter-level asset localization in forested environments even during temporary occlusions.
citing papers explorer
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CAVERS: Multimodal SLAM Data from a Natural Karstic Cave with Ground Truth Motion Capture
CAVERS supplies 335 GB of multimodal cave sensor data with mm-accurate ground truth and benchmarks of seven SLAM algorithms to support research in challenging natural environments.
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Camera-RFID Fusion for Robust Asset Tracking in Forested Environments
A novel camera-RFID fusion framework with trajectory matching achieves reliable centimeter-level asset localization in forested environments even during temporary occlusions.