Localization for Autonomous Vehicle: Analysis of Importance of IoT Network Localization for Autonomous Vehicle Applications

2018 International Conference on Applied Electromagnetics, Signal Processing and Communication (AESPC) Pub Date : 2018-10-01 DOI:10.1109/AESPC44649.2018.9033329

R. Shit, Suraj Sharma

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引用次数: 2

Abstract

The safe operation of the autonomous vehicle relies on an exact localization system. A notable amount of localization approaches suggested in the existing literature but a little of them shows its applicability towards autonomous vehicle scenarios. This paper presents investigation of the localization techniques in the light of applicability in autonomous vehicle scenarios. In this paper analysis of the role of sensor nodes and infrastructure for localization in autonomous vehicular application is carried out. The variation of localization error in different environmental condition like darkness or snow and driving scenario is analyzed. The analysis of vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) platforms are examined with sensor data of vehicular network. Adding network information along with sensor data for localization can make robust and exact localization system for autonomous vehicles. However, the performance depends upon network infrastructure and quality of network services.

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自动驾驶汽车的本地化:物联网网络本地化对自动驾驶汽车应用的重要性分析

自动驾驶汽车的安全运行依赖于精确的定位系统。现有文献中提出了大量的定位方法，但其中很少显示其对自动驾驶汽车场景的适用性。本文从自动驾驶汽车场景的适用性出发，对定位技术进行了研究。本文分析了传感器节点和基础设施在自动驾驶汽车定位中的作用。分析了不同环境条件下定位误差的变化规律，如黑暗、积雪和驾驶场景。利用车联网的传感器数据，对车对车(V2V)和车对基础设施(V2I)平台进行分析。在传感器数据的基础上加入网络信息进行定位，可以使自动驾驶汽车定位系统鲁棒、精确。但是，性能取决于网络基础设施和网络服务质量。

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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2018 International Conference on Applied Electromagnetics, Signal Processing and Communication (AESPC)

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