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[bertlluk]
Advances in AI, especially the convolutional neural network, allow us to process raw sensory information and recognize objects and categorize them into class with higher levels of abstraction (pedestrians, cars, trees etc.). Taking these categories into account, allows autonomous vehicles to understand the scene and reason about the other participants of road traffic and make assumptions about their interactions. This section describes commonly used methods, their advantages, and weaknesses.