论文标题
AI-AS-A-AS-Service工具包用于自动驾驶中以人为中心的智能
AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving
论文作者
论文摘要
本文介绍了H2020教学项目中开发的AI-AS-AS-Service工具包的概念验证实施，旨在根据自动驾驶员的压力识别算法的输出来实施自主驾驶个性化系统，它们都意识到了系统的网络物理系统系统。此外，我们实施了一个数据收集子系统，以从不同传感器（即可穿戴设备和相机）收集数据以自动化压力识别。该系统附加了用于测试驾驶模拟软件Carla的系统，该软件允许以最低成本测试该方法的可行性，而无需冒险驱动程序和乘客。在相对子系统的核心中，使用深层神经网络，经常性神经网络和增强学习实施了不同的学习算法。
This paper presents a proof-of-concept implementation of the AI-as-a-Service toolkit developed within the H2020 TEACHING project and designed to implement an autonomous driving personalization system according to the output of an automatic driver's stress recognition algorithm, both of them realizing a Cyber-Physical System of Systems. In addition, we implemented a data-gathering subsystem to collect data from different sensors, i.e., wearables and cameras, to automatize stress recognition. The system was attached for testing to a driving simulation software, CARLA, which allows testing the approach's feasibility with minimum cost and without putting at risk drivers and passengers. At the core of the relative subsystems, different learning algorithms were implemented using Deep Neural Networks, Recurrent Neural Networks, and Reinforcement Learning.
