Data Heterogeneity, Characterization, and Integration in the Context of Autonomous Vehicles

被引：0

作者：

Pimentel, Juan R. ^{[1
]}

机构：

[1] Kettering Univ, Dept Elect & Comp Engn, Flint, MI 48504 USA

来源：

IECON 2017 - 43RD ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY | 2017年

关键词：

Data heterogeneity; data characterization; data integration; perception system; perception sensors; autonomous vehicles;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Data is pervasive in autonomous vehicles and in this paper we provide a context to understand its nature, its characterization, and how it can be integrated into a complete autonomous vehicle system. The context is used to characterize data generated from the perception system and to discuss critical issues that arise in the development and implementation of complex autonomous systems such as those featuring the SAE levels 4 and 5 of vehicle driving automation.

引用

页码：4571 / 4576

页数：6

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