Abstract: International audience; Simulation, a common practice to evaluate autonomous vehicles, requires to specify realistic scenarios, in particular critical ones, which correspond to corner-case situations occurring rarely and potentially dangerous to reproduce in real environments. Such simulation scenarios may be either generated randomly, or specified manually. Randomly generated scenarios can be easily generated, but their relevance might be difficult to assess, for instance when many slightly different scenarios target one feature. Manually spec...
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Topics: 
Machine learning
Artificial intelligence
Software engineering