论文标题
车辆知识网络的定义和框架
A Definition and Framework for Vehicular Knowledge Networking
论文作者
论文摘要
为了操作智能的车辆应用，例如自动驾驶，机器学习，人工智能和其他机制，用于从信息中抽象出通常称为知识的信息。被定义为通过经验和分析收集的信息获得的理解状态，知识对车辆应用有希望。但是，它缺乏合作创建和共享以实现其全部潜力的统一框架。本文研究了应用于车辆网络的知识的含义和范围，并提出了用于车辆知识描述，存储和共享的结构。通过基于乘客舒适的重新布置的示例，它暴露了网络负载和此类知识结构延迟的潜在好处。
To operate intelligent vehicular applications such as automated driving, machine learning, artificial intelligence and other mechanisms are used to abstract from information what is commonly referred to as knowledge. Defined as a state of understanding obtained through experience and analysis of collected information, knowledge is promising for vehicular applications. However, it lacks a unified framework to be cooperatively created and shared to achieve its full potential. This paper investigates on the meaning and scope of knowledge applied to vehicular networks, and suggests a structure for vehicular knowledge description, storage and sharing. Through the example of passenger comfort-based rerouting, it exposes the potential benefits for network load and delay of such knowledge structuring.
