S. Peric, Nina Vukić, D. Antić, M. Milojković, Anđela Đorđević
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APPLICATION OF CONVOLUTIONAL NEURAL NETWORKS FOR ROAD TYPE CLASSIFICATION
This paper presents an application of convolutional neural networks (CNN) in autonomous driving system, which represents the capacity of a vehicle to operate mostly or entirely autonomously, with or without human assistance. After basic introduction of CNN, we design and apply CNN-based algorithm in road type classification problem. The performed simulations show that satisfactory results can be achieved even with little data available.
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