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Enhancing trust in automated 3D point cloud data interpretation through explainable counterfactuals
Andreas Holzinger, Niko Lukač, Dzemail Rozajac, Emil Johnston, Veljka Kocic, Bernhard Hoerl, Christoph Gollob, Arne Nothdurft, Karl Stampfer, Stefan Schweng, Javier Del Ser
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Oznake: explainable AI;point cloud data;counterfactual reasoning;information fusion;interpretability;human-centered AI;
This paper introduces a novel framework for augmenting explainability in the interpretation of point cloud data by fusing expert knowledge with counterfactual reasoning. Given the complexity and voluminous nature of point cloud datasets, derived predominantly from LiDAR and 3D scanning technologies, ...
Leto: 2025 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
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