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.
Description
Keywords
Autonomous, Driverless vehicles, Obstacle avoidance
Turkish CoHE Thesis Center URL
Citation
WoS Q
Scopus Q
Source
Volume
Issue
Start Page
38
End Page
41