Abstract
Traditional egress routes are normally indicated on floor plans and function as designed, assuming that people can identify their relative location and orientation. However, the evacuation process can easily become complicated in a dark or hazardous environment with potential blockage of unexpected obstacles. This study developed the mobile AR indoor navigation system (MARINS) using a smartphone as a device to guide users to exits in a 0-lux setting with the path only illuminated by the phone camera’s LED. The system is developed using Apple ARKit SDK with the associated simultaneous localization and mapping (SLAM) function on a Unity platform in four modules. A maze scenario is planned in an environment built by carton walls. Time and distance traveled by the experimental group and the control group are measured. The results of statistical analysis demonstrate that the MARINS system can reduce travel time in known space and in total summation compared to the application of a traditional map. The system also reduces travel distance and misjudgments with higher system usability than the application of a traditional map.
Highlights
Each building is organized by a certain kind of circulation system and space hierarchy as a maze of different complexity
To solve the above-mentioned problems, this study applies simultaneous localization and mapping (SLAM) technology provided by ARKit SDK to develop a simple location-based AR
In comparing a 2D map and mobile AR indoor navigation system (MARINS), this study aims to determine if a system can be developed to achieve a shorter evacuation time, less misjudgments of distance traveled, and a better system acceptance and usability, based on a statistical analysis of an experimental group and a control group
Summary
Each building is organized by a certain kind of circulation system and space hierarchy as a maze of different complexity. While certain path-searching rules may apply or egress routes may possess fail-free designs, each movement necessitates clear visibility of an environment, which can be challenging when power failure occurs to a lighting system. It would be greatly beneficial if an indoor navigation system could be developed for a power failure situation using a ubiquitous device, such as a smartphones. To solve the above-mentioned problems, this study applies simultaneous localization and mapping (SLAM) technology provided by ARKit SDK to develop a simple location-based AR navigation system for a totally dark environment, with a smartphone LED as the only light source. A path selection option is provided for unexpected obstruction for known and unknown parts of the maze
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