[bertlluk][✓ bertlluk, 2025-06-25]
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, it allows autonomous vehicles to understand the scene and reason about future actions of the vehicle as well as about the other participants in road traffic and make assumptions on/prediction of their possible interactions. This section elaborates on comparison of commonly used methods, their advantages, and weaknesses.