NDLI: Autonomous Indoor Scanning System Collecting Spatial and Environmental Data for Efficient Indoor Monitoring and Control

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Autonomous Indoor Scanning System Collecting Spatial and Environmental Data for Efficient Indoor Monitoring and Control

Content Provider	MDPI
Author	Park, Dongwoo Hwang, Soyoung
Copyright Year	2020
Description	As various activities related to entertainment, business, shopping, and conventions are done increasingly indoors, the demand for indoor spatial information and indoor environmental data is growing. Unlike the case of outdoor environments, obtaining spatial information in indoor environments is difficult. Given the absence of GNSS (Global Navigation Satellite System) signals, various technologies for indoor positioning, mapping and modeling have been proposed. Related business models for indoor space services, safety, convenience, facility management, and disaster response, moreover, have been suggested. An autonomous scanning system for collection of indoor spatial and environmental data is proposed in this paper. The proposed system can be utilized to collect spatial dimensions suitable for extraction of a two-dimensional indoor drawing and obtainment of spatial imaging as well as indoor environmental data on temperature, humidity and particulate matter. For these operations, the system has two modes, manual and autonomous. The main function of the systems is autonomous mode, and the manual mode is implemented additionally. It can be applied in facilities without infrastructure for indoor data collection, such as for routine indoor data collection purposes, and it can also be used for immediate indoor data collection in cases of emergency (e.g., accidents, disasters).
Starting Page	1133
e-ISSN	22279717
DOI	10.3390/pr8091133
Journal	Processes
Issue Number	9
Volume Number	8
Language	English
Publisher	MDPI
Publisher Date	2020-09-11
Access Restriction	Open
Subject Keyword	Processes Remote Sensing Autonomous Scanning Indoor Spatial Data Environmental Data Iot (internet of Things) Mobile Application Sensor
Content Type	Text
Resource Type	Article

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