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Scenario Factory: Creating Safety-Critical Traffic Scenarios for Automated Vehicles
2020
2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)
The safety validation of motion planning algorithms for automated vehicles requires a large amount of data for virtual testing. Currently, this data is often collected through real test drives, which is expensive and inefficient, given that only a minority of traffic scenarios pose challenges to motion planners. We present a workflow for generating a database of challenging and safety-critical test scenarios that is not dependent on recorded data. First, we extract a large variety of road
doi:10.1109/itsc45102.2020.9294629
fatcat:ttnkubnql5e5rhgvhrd3qv72eq