自动驾驶汽车的深度学习:机遇与挑战

2018 IEEE/ACM 1st International Workshop on Software Engineering for AI in Autonomous Systems (SEFAIAS) Pub Date : 2018-05-28 DOI:10.1145/3194085.3194087

Qing Rao, Jelena Frtunikj

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引用次数: 161

摘要

人工智能(AI)正在彻底改变现代社会。在汽车行业，研究人员和开发人员正在积极推动基于深度学习的自动驾驶方法。然而，在神经网络进入量产汽车之前，它必须首先经过严格的功能安全评估。本文介绍了将深度学习应用于自动驾驶汽车的机遇和挑战。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Deep Learning for Self-Driving Cars: Chances and Challenges

Artificial Intelligence (AI) is revolutionizing the modern society. In the automotive industry, researchers and developers are actively pushing deep learning based approaches for autonomous driving. However, before a neural network finds its way into series production cars, it has to first undergo strict assessment concerning functional safety. The chances and challenges of incorporating deep learning for self-driving cars are presented in this paper.

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2018 IEEE/ACM 1st International Workshop on Software Engineering for AI in Autonomous Systems (SEFAIAS)

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