Next Article in Journal
Innovation Potentials and Pathways Merging AI, CPS, and IoT
Previous Article in Journal
Design, Implementation, and Field Testing of a Privacy-Aware Compliance Tracking System for Bedside Care in Nursing Homes
Article Menu
Issue 1 (March) cover image

Export Article

Open AccessFeature PaperConcept Paper

Indoor Autonomous Vehicle Navigation—A Feasibility Study Based on Infrared Technology

Department of Electronics Engineering, National United University, 36003 Miaoli, Taiwan
Author to whom correspondence should be addressed.
Appl. Syst. Innov. 2018, 1(1), 4;
Received: 6 September 2017 / Revised: 8 January 2018 / Accepted: 8 January 2018 / Published: 10 January 2018
PDF [4158 KB, uploaded 10 January 2018]


The application of autonomous vehicles has grown dramatically in recent years. Not only has the rail-guided vehicle (RGV) been used widely in traditional production lines, the automatic guided vehicle (AGV) has also been increasingly used. Positioning and path planning are two major functions of autonomous vehicles; however, there are many ways to fulfill the above requirements. The infrared remote control has been heavily and successfully used in home appliances for decades, which has encouraged us to apply this mature and cost-effective technology to an autonomous vehicle. By decoding the coded signal from the infrared light-emitting diode (LED), which is equipped on the ceiling, the autonomous vehicle can be positioned with an accuracy of less than 50 mm. On the other hand, by changing the beam pattern of infrared light from the ceiling, an invisible route can be produced on the ground. That is to say, instead of the traditional rail-guided method, these invisible paths can guide the autonomous vehicle. We have implemented a prototype of an autonomous vehicle system based on the above concept, with the aim of creating a simple and reliable approach for the navigation of an indoor autonomous vehicle. View Full-Text
Keywords: autonomous vehicle; positioning; path planning; infrared; invisible route autonomous vehicle; positioning; path planning; infrared; invisible route

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Supplementary material


Share & Cite This Article

MDPI and ACS Style

Run, R.-S.; Xiao, Z.-Y. Indoor Autonomous Vehicle Navigation—A Feasibility Study Based on Infrared Technology. Appl. Syst. Innov. 2018, 1, 4.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics



[Return to top]
Appl. Syst. Innov. EISSN 2571-5577 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top