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Scene Graph-based Driving Scenario Extraction for Automotive Egocentric Datasets
Extracting scenarios from unlabelled real-world sensor data streams is a critical but challenging task in the development process of automated driving systems (ADS). Automatically sifting through large datasets to spatially and temporally locate critical scenarios can enable scenario-based coverage
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