Localization of an autonomous personnel carrying vehicle in indoor environments

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Date

2017

Journal Title

Journal ISSN

Volume Title

Publisher

Association for Computing Machinery

Abstract

There is an emerging need of intelligent vehicles on indoor environments such as university campuses, airports or shopping malls. These intelligent vehicles can help elderly, disabled, or people with heavy luggage. This paper describes an intelligent vehicle that can be used indoor as well as outdoor areas for this purpose. Finding the exact location for indoor robots is not an easy task, since Global Positioning System (GPS) is not available indoors. In this work onboard sensors such as motor encoder and steering-wheel encoder were used to obtain localization estimates. The errors are determined to be low even when the vehicle travels long distances.

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Keywords

Autonomous, Driverless vehicles, Obstacle avoidance

Turkish CoHE Thesis Center URL

Citation

WoS Q

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Volume

Issue

Start Page

38

End Page

41