Gaussian process regression enables implicit multi-camera calibration by learning 2D-to-3D mappings with built-in uncertainty and active learning for efficient data use.
In: 2020 IEEE International Conference on Consumer Electronics (ICCE), pp
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HySecTwin adds semantic modeling and hybrid rule-plus-fuzzy reasoning to digital twins so they can detect and explain cyber threats in cyber-physical systems faster than rule-only methods.
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Implicit Multi-Camera System Calibration Using Gaussian Processes
Gaussian process regression enables implicit multi-camera calibration by learning 2D-to-3D mappings with built-in uncertainty and active learning for efficient data use.
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HySecTwin: A Knowledge-Driven Digital Twin Framework Augmented with Hybrid Reasoning for Cyber-Physical Systems
HySecTwin adds semantic modeling and hybrid rule-plus-fuzzy reasoning to digital twins so they can detect and explain cyber threats in cyber-physical systems faster than rule-only methods.