The work introduces standardized behavior-centric scenario extraction from highway data and domain-knowledge-guided clustering via CVQ-VAE, shown reliable on the highD dataset.
A survey on data-driven scenario generation for automated vehicle testing
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The paper delivers a two-level hierarchical classification of edge case detection methods in automated driving, covering AV modules and methodologies, plus evaluation metrics and open challenges.
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Behavior-Centric Extraction of Scenarios from Highway Traffic Data and their Domain-Knowledge-Guided Clustering using CVQ-VAE
The work introduces standardized behavior-centric scenario extraction from highway data and domain-knowledge-guided clustering via CVQ-VAE, shown reliable on the highD dataset.
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Edge Case Detection in Automated Driving: Methods, Challenges and Future Directions
The paper delivers a two-level hierarchical classification of edge case detection methods in automated driving, covering AV modules and methodologies, plus evaluation metrics and open challenges.