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DeepScenario: An Open Driving Scenario Dataset for Autonomous Driving System Testing

DeepScenario is an open driving scenario dataset for autonomous driving system testing, containing over 30,000 executable driving scenarios collected by 2880 test executions of three scenario generation strategies.

AccessFree to access
LicenceLicense statement is still being checked
ProducerSimula Research Laboratory

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Machine learning & corporaFree to access

Key facts

InstitutionSimula Research Laboratory
CoverageDriving scenarios including collision scenarios (with other vehicles, pedestrians, static obstacles)
Time spanSee official page
ScaleOver 30,000 executable driving scenarios, 1 file

Contents & fields

The dataset consists of two main parts: deepscenario-dataset (driving scenario data) and deepscenario-toolset (toolset). Each scenario is labeled with six attributes characterizing test results. The source page does not disclose field-level details.

Research uses

Suitable for research on autonomous driving system testing, scenario generation strategy evaluation, and collision scenario analysis.

Information comes from the source page. Please check that page for current details and terms.

Keywords

autonomous drivingdriving scenariodatasetsystem testingscenario generationcollision scenario

Access and licence

Licence: License statement is still being checked · Source page
Rights details not yet verified | Free to access

Official site / download →

Why this is hard to get on your own

Testing autonomous driving systems requires diverse scenarios, but existing datasets are small and lack coverage of edge cases.

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