Automated Event Classification During Scenario Identification in Real-World Drives

  1. Scenario Vectorization: In this step, the sensor recordings (Camera, LiDAR, GPS, Radar) are translated into a digital representation of the scene; road boundaries, lane markers are detected (or matched to existing imported map), vehicles and pedestrians are detected, and their trajectories recorded.
  2. Scenario Identification: Next, the scenes are analyzed, and interesting traffic situations are selected which can cover the spectrum of tests for the intended ADS feature to be validated.
  3. Scenario Extraction: Finally, the static and dynamic components of selected scenes are exported into OpenDRIVE and OpenSCENARIO standard formats so that they can be imported into a wide range of simulation software solutions.

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