Guiding People in Complex Indoor Environments Using Augmented Reality

Gerstweiler, Georg

doi:10.1109/vr.2018.8446138

Cited by 17 publications

(9 citation statements)

References 6 publications

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“…This has significantly improved indoor navigation and positioning [14]. In recent years, researchers have successively proposed to combine AR with WiFi positioning technology [15], or with the accelerator camera and compass function in smartphone [16], or even built a HyMoTrack system [17,18] to develop indoor navigation systems.…”

Section: Ar Navigationmentioning

confidence: 99%

AR Book-Finding Behavior of Users in Library Venue

2020

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ARKit and ARCore, key technologies in recent augmented reality (AR) development, have allowed AR to become more integrated in our lives. However, how effective AR is in an auxiliary role in venue guidance and how to collect the actual behaviors of users in physical venues are worth exploring. This study used navAR, a spatial behavior analysis system app that our research team developed, to collect the actual behaviors of participants in physical space via a smartphone, such as time, distance travelled, and trajectory, and compared their book-finding behaviors in a library venue in a text scenario and an AR scenario without any additional sensors or cameras. The experiment results revealed that (1) AR targets made a significant difference in book search time, and the participants found some of the books significantly faster; (2) the participants presented no significant differences in distance travelled; (3) with an AR target, the book-finding trajectories of the participants were significantly more regular; (4) the AR guidance system had good usability. The results of this study can facilitate planning with AR in indoor venue routes, improve venue and exhibition tour experiences, and enable AR to be used for crowd flow diversion. Furthermore, this study provides a methodology for future analyses on user behavior in physical spaces.

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Section: Ar Navigationmentioning

confidence: 99%

AR Book-Finding Behavior of Users in Library Venue

2020

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“…Geory Gerstweiler. (March 2018) et.al in [1] has concentrated on three main topics. At first a tracking solution HyMoTrack is presented, based on a visual hybrid tracking approach for smart phones and tested in a real world airport scenario.…”

Section: Literature Surveymentioning

confidence: 99%

Indoor Navigation Using Ar Technology

H¹,

Akhila²,

Aravind³

et al. 2020

IJEAST

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Navigation systems have been widely used in outdoor environments, but indoor navigation systems are still in early development stages. The current available systems make use of GPS, Bluetooth, Wi-Fi, RFID and Sensor Chip technologies. The Bluetooth technology is cheap but has limited range and accuracy. For an effective location tracking and navigation using this technology, we need to setup Bluetooth hotspots across the building. The same is applicable for other technologies like Wi-Fi, RFID and Sensor chips. The implementation and maintenance cost is exorbitant for all these methods and a change in weather condition may affect the signal strength downing the hotspot if any one device fails. In all such existing systems, additional infrastructural facilities are inevitable for the perfect working of it. In this work, we put forward a low cost, simple, reliable and efficient method to accomplish the same goal by introducing an augmented reality-based indoor navigation application to assist people navigate in indoor environments.

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“…Guidance is a constant in many of these applications, regardless of the objectives. This goes from task support in industrial environments [4] or the need of users to orientate and find paths into buildings [5,6]. Another example is to guide technicians in complex maintenance tasks, improving the life cycle of buildings and infrastructure [7].…”

Section: Introductionmentioning

confidence: 99%

GEUINF: Real-Time Visualization of Indoor Facilities Using Mixed Reality

Jurado

Ortega

et al. 2021

Sensors

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Mixed reality (MR) enables a novel way to visualize virtual objects on real scenarios considering physical constraints. This technology arises with other significant advances in the field of sensors fusion for human-centric 3D capturing. Recent advances for scanning the user environment, real-time visualization and 3D vision using ubiquitous systems like smartphones allow us to capture 3D data from the real world. In this paper, a disruptive application for assessing the status of indoor infrastructures is proposed. The installation and maintenance of hidden facilities such as water pipes, electrical lines and air conditioning tubes, which are usually occluded behind the wall, supposes tedious and inefficient tasks. Most of these infrastructures are digitized but they cannot be visualized onsite. In this research, we focused on the development of a new application (GEUINF) to be launched on smartphones that are capable of capturing 3D data of the real world by depth sensing. This information is relevant to determine the user position and orientation. Although previous approaches used fixed markers for this purpose, our application enables the estimation of both parameters with a centimeter accuracy without them. This novelty is possible since our method is based on a matching process between reconstructed walls of the real world and 3D planes of the replicated world in a virtual environment. Our markerless approach is based on scanning planar surfaces of the user environment and then, these are geometrically aligned with their corresponding virtual 3D entities. In a preprocessing phase, the 2D CAD geometry available from an architectural project is used to generate 3D models of an indoor building structure. In real time, these virtual elements are tracked with the real ones modeled by using ARCore library. Once the alignment between virtual and real worlds is done, the application enables the visualization, navigation and interaction with the virtual facility networks in real-time. Thus, our method may be used by private companies and public institutions responsible of the indoor facilities management and also may be integrated with other applications focused on indoor navigation.

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Guiding People in Complex Indoor Environments Using Augmented Reality

Cited by 17 publications

References 6 publications

AR Book-Finding Behavior of Users in Library Venue

AR Book-Finding Behavior of Users in Library Venue

Indoor Navigation Using Ar Technology

GEUINF: Real-Time Visualization of Indoor Facilities Using Mixed Reality

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