Abstract
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).
Highlights
People are known to spend more than 90% of their entire lives indoors
In the process of integrating the scan data, we found that a calibration scheme is needed
As in the above experiment, we selected an indoor space and performed experiments on manual scanning and autonomous scanning in order to verify the operation of the proposed system
Summary
People are known to spend more than 90% of their entire lives indoors. As this time increases, indoor spaces’ various elements and environments will inevitably impact human life.the expression and understanding of indoor spaces have grown more complicated as commercial buildings and large-scale facilities have increased in number. In order to realize such a service, basic indoor spatial information must be provided. This includes detailed indoor maps and models that can be used for route planning, navigation guidance, and many other applications, as well as location information for pedestrians and goods in indoor spaces. Various techniques have been developed for efficient construction of indoor expressing and visualizing data in the forms of indoor maps or modeling, for example. Among those techniques are automatic or semi-automatic extraction from architectural blueprints, and Building Information
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