A survey of deep learning techniques for autonomous driving
Abstract
The last decade witnessed increasingly rapid progress in self‐driving vehicle technology, mainly backed up by advances in the area of deep learning and artificial intelligence (AI). The objective of this paper is to survey the current state‐of‐the‐art on deep learning technologies used in autonomous driving. We start by presenting AI‐based self‐driving architectures, convolutional and recurrent neural networks, as well as the deep reinforcement...
Paper Details
Title
A survey of deep learning techniques for autonomous driving
Published Date
Nov 14, 2019
Journal
Volume
37
Issue
3
Pages
362 - 386
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