Applying Low Cost WiFi-based Localization to In-Campus Autonomous Vehicles

被引：0

作者：

Hernandez, Noelia ^{[1
]}

Hussein, Ahmed ^{[2
]}

Cruzado, Daniel ^{[2
]}

Parra, Ignacio ^{[1
]}

Maria Armingol, Jose ^{[2
]}

机构：

[1] Univ Alcala, Intelligent Vehicles & Traff Technol Grp, Alcala De Henares, Spain

[2] Univ Carlos III Madrid, Intelligent Syst Lab, Leganes, Spain

来源：

2017 IEEE 20TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC) | 2017年

关键词：

INDOOR LOCALIZATION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper a new approach to provide low cost localization to autonomous vehicles is proposed. It is based on fingerprint WiFi localization improved by using Support Vector Regression to increase localization resolution without the need of increasing the number of positions to site-survey. Results shown that the proposed method can emerge as a powerful tool to provide localization at situations where the use of GPS is not suitable.

引用

页数：6

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