CarLab: Framework for Vehicular Data Collection and Processing

Mert D. Pesé, A. Ganesan, K. Shin
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引用次数: 7

Abstract

Due to the growth of intelligent and self-driving vehicles, there are a multitude of data-driven applications such as user monitoring or traffic modeling and control. Each application often uses its own data-collection platform, leading to a scattered landscape of solutions for vehicular data-driven research and app development. We propose CarLab, a flexible and open vehicular data-collection platform which unifies this landscape of vehicular data-driven research and app development. In this paper, we survey the field of vehicular data collection, describe the system architecture of CarLab and related research issues.
CarLab:车辆数据收集和处理框架
由于智能和自动驾驶汽车的发展,出现了大量数据驱动的应用,如用户监控或交通建模和控制。每个应用程序通常使用自己的数据收集平台,导致车辆数据驱动研究和应用程序开发的解决方案分散。我们提出了CarLab,这是一个灵活开放的车辆数据收集平台,它将车辆数据驱动的研究和应用程序开发结合起来。本文概述了车辆数据采集领域,描述了CarLab的系统架构和相关研究问题。
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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