From monotonous highways to routine neighborhood trips, driving is often uneventful. As a result, much of the training data for autonomous vehicle (AV) development collected in the real world is heavily skewed toward simple scenarios. This poses a challenge to deploying robust perception models. AVs must be thoroughly trained, tested, and validated to handle complex situations��
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