A Survey on Indoor Positioning Technologies

Song, Zhenlong; Jiang, Gangyi; Chao, Huang

doi:10.1007/978-3-642-24999-0_28

Cited by 52 publications

(26 citation statements)

References 19 publications

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“…Guidance techniques typically rely heavily on indoor localization, for which many characterizations exist (see [47,49] for a literature review). However, these works focus more on algorithmic and technological aspects rather than on the higher-level interaction and guidance.…”

Section: Related Workmentioning

confidence: 99%

A design space of guidance techniques for large and dense physical environments

Gacem

Bailly

Eagan

et al. 2014

Proceedings of the 26th Conference on l'Interaction Homme-Machine

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Finding an object in a physical environment is difficult if the environment contains many objects, especially if it is large and dense. We propose a design space that describes and compares existing guidance techniques according to four dimensions: output modality, physicality, granularity and spatial information. Output modality can be visual, audio or tactile. Guidance information can be displayed using physical objects or virtual artifacts. Granularity indicates whether the technique serves to navigate towards the vicinity of the target or to precisely localize the target. Finally, spatial information is either exocentric or egocentric. This design space aims at providing an overview of the domain and helping designers and researchers to understand the key properties of these techniques. It also enables their comparison and the generation of new techniques by highlighting unexplored areas.

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Section: Related Workmentioning

confidence: 99%

A design space of guidance techniques for large and dense physical environments

Gacem

Bailly

Eagan

et al. 2014

Proceedings of the 26th Conference on l'Interaction Homme-Machine

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show abstract

“…However, for indoor circumstances, the signal propagation model may be altered by the multipath effect, shadowing effect, fading effect, and delay distortion from walls, floors, furniture, or ceilings [12,13]. Meanwhile, it is difficult to provide compensation for model distortion analytically [14,15]. Different from the acoustic localization methods based on geometry model, the fingerprinting acoustic localization method simply adopted in our previous work [16], as a nonparametric location approach, can effectively accomplish sound positioning task according to the idea of environment perception.…”

Section: Introductionmentioning

confidence: 99%

Fingerprinting Acoustic Localization Indoor Based on Cluster Analysis and Iterative Interpolation

2018

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Fingerprinting acoustic localization usually requires tremendous time and effort for database construction in sampling phase and reference points (RPs) matching in positioning phase. To improve the efficiency of this acoustic localization process, an iterative interpolation method is proposed to reduce the initial RPs needed for the required positioning accuracy by generating virtual RPs in positioning phase. Meanwhile, a two-stage matching method based on cluster analysis is proposed for computation reduction of RPs matching. Results reported show that, on the premise of ensuring positioning accuracy, two-stage matching method based on feature clustering partition can reduce the average RPs matching amount to 30.14% of the global linear matching method taken. Meanwhile, the iterative interpolation method can guarantee the positioning accuracy with only 27.77% initial RPs of the traditional method needed.

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“…A variety of indoor positioning technologies are being developed rapidly in nowadays, such as Wi-Fi, Bluetooth, and UWB, which are used in hospitals, shopping malls, warehouses, underground car parks and other places (Song et al, 2011). The integrated positioning and navigation system of indoor/outdoor, called seamless positioning (Lau, 2005), is gradually applied in the real life.…”

Section: Introductionmentioning

confidence: 99%

Coordinate references for the indoor/outdoor seamless positioning

Ruan

Zhang

Long

et al. 2018

Proc. Int. Cartogr. Assoc.

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Indoor positioning technologies are being developed rapidly, and seamless positioning which connected indoor and outdoor space is a new trend. The indoor and outdoor positioning are not applying the same coordinate system and different indoor positioning scenes uses different indoor local coordinate reference systems. A specific and unified coordinate reference frame is needed as the space basis and premise in seamless positioning application. Trajectory analysis of indoor and outdoor integration also requires a uniform coordinate reference. However, the coordinate reference frame in seamless positioning which can applied to various complex scenarios is lacking of research for a long time. In this paper, we proposed a universal coordinate reference frame in indoor/outdoor seamless positioning. The research focus on analysis and classify the indoor positioning scenes and put forward the coordinate reference system establishment and coordinate transformation methods in each scene. And, through some experiments, the calibration method feasibility was verified.

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A Survey on Indoor Positioning Technologies

Cited by 52 publications

References 19 publications

A design space of guidance techniques for large and dense physical environments

A design space of guidance techniques for large and dense physical environments

Fingerprinting Acoustic Localization Indoor Based on Cluster Analysis and Iterative Interpolation

Coordinate references for the indoor/outdoor seamless positioning

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