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Quantum capsules in accident detection: A simple feature extraction on capsule networks for high-detail images
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DOI：10.1016/j.rineng.2026.112334.png)
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Abstract
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• A feature representation that integrates parameterized quantum circuits (PQC) into the capsule transformation. • Capsule network model designed to improve feature extraction and routing process stability in high-complexity images. • The exploding gradient problem in the dynamic routing process and outlines several directions for future research.
Keywords:
Accident detection
Parameterized quantum circuits
Quantum capsule
Quantum capsule network
Quantum deep learning
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