@inproceedings{289483ae1c324a00a1d677a426e0427c,
title = "Deep Learning for Autonomous Driving",
abstract = "In this paper we look at Deep Learning methods using TensorFlow for autonomous driving tasks. Using scale model vehicles in a traffic scenario similar to the Audi Autonomous Driving Cup and the Carolo Cup, we successfully used Deep Learning stacks for the two independent tasks of lane keeping and traffic sign recognition.",
keywords = "autonomous driving, deep learning, driverless vehicles, lane keeping, TensorFlow, traffic sign recognition",
author = "Nicholas Burleigh and Jordan King and Thomas Braunl",
year = "2019",
month = dec,
doi = "10.1109/DICTA47822.2019.8945818",
language = "English",
series = "2019 Digital Image Computing: Techniques and Applications, DICTA 2019",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
booktitle = "2019 Digital Image Computing",
address = "United States",
note = "2019 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2019 ; Conference date: 02-12-2019 Through 04-12-2019",
}