@inproceedings{a6c3a1a9bed64e519799d795dcc7fc28,
title = "Vision-based multi-point sensing for corridor navigation of Autonomous Indoor Vehicle",
abstract = "Autonomous Indoor Vehicle (AIV) is used for various purposes so it can reduce human workload. This study aims to develop a corridor navigation system for AIV that utilizes vision-based multi point sensing. Multi-point sensing techniques on floor and corridor areas are used to detect obstacle-free areas and estimate the direction of AIV. Area detection and direction estimation are used as input information of navigation algorithm based on a fuzzy inference system to control AIV movement. The results of the experiments show that AIV can run along the corridor with the largest mean error of 6.49% with respect the centerline of the corridor.",
keywords = "autonomous vehicle, corridor navigation, vision-based sensing",
author = "Djoko Purwanto and Muhammad Rivai and Hendawan Soebhakti",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 International Conference on Electrical Engineering and Computer Science, ICECOS 2017 ; Conference date: 22-08-2017 Through 23-08-2017",
year = "2017",
doi = "10.1109/ICECOS.2017.8167168",
language = "English",
series = "ICECOS 2017 - Proceeding of 2017 International Conference on Electrical Engineering and Computer Science: Sustaining the Cultural Heritage Toward the Smart Environment for Better Future",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "67--70",
booktitle = "ICECOS 2017 - Proceeding of 2017 International Conference on Electrical Engineering and Computer Science",
address = "United States",
}