Comparative Study of End-to-end Deep Learning Methods for Self-driving Car

Self-driving car is one of the most amazing applications and most active research of artificial intelligence. It uses end-to-end deep learning models to take orientation and speed decisions, using mainly Convolutional Neural Networks for computer vision, plugged to a fully connected network to outpu...

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Veröffentlicht in:	International journal of intelligent systems and applications 2020-10, Vol.12 (5), p.15-27
Hauptverfasser:	Youssef, Fenjiro, Houda, Benbrahim
Format:	Artikel
Sprache:	eng
Schlagworte:	Agents (artificial intelligence) Algorithms Artificial intelligence Artificial neural networks Autonomous cars Autonomous vehicles Comparative studies Computer simulation Computer vision Deep learning Lane keeping Machine learning Training
Online-Zugang:	Volltext
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