Localization of an Autonomous Personnel Carrying Vehicle in Indoor Environments

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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. © 2017 Elsevier B.V., All rights reserved.

Description

Keywords

Autonomous, Driverless Vehicles, Obstacle Avoidance, Collision Avoidance, Global Positioning System, Indoor Positioning Systems, Intelligent Vehicle Highway Systems, Signal Encoding, Autonomous, Driverless, Indoor Environment, Motor Encoders, On-Board Sensors, Steering Wheel, University Campus, Vehicle Travels, Vehicles

Fields of Science

0209 industrial biotechnology, 02 engineering and technology

Citation

WoS Q

N/A

Scopus Q

N/A

Source

ACM International Conference Proceeding Series -- 2017 International Conference on Mechatronics Systems and Control Engineering, ICMSCE 2017 -- Kayseri -- 127041

Volume

Issue

Start Page

38

End Page

41

URI

https://doi.org/10.1145/3045714.3045719
 https://hdl.handle.net/20.500.12573/4134

Collections

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