Indoor positioning and wayfinding systems: a survey

Kunhoth, Jayakanth; Karkar, AbdelGhani; Al‐Maadeed, Somaya; Al-Ali, Abdulla

doi:10.1186/s13673-020-00222-0

Cited by 173 publications

(106 citation statements)

References 144 publications

(142 reference statements)

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“…Positioning techniques that do not rely on satellites include inertial positioning [8][9][10], point cloud-based positioning [11][12][13], and a large family of positioning techniques generally called indoor positioning techniques [14][15][16].…”

Section: Related Workmentioning

confidence: 99%

UWB Base Station Cluster Localization for Unmanned Ground Vehicle Guidance

Ding

et al. 2021

Mathematical Problems in Engineering

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In this paper, we seek to provide unmanned ground vehicles with positioning service using ultrawideband (UWB) technology, a high-accuracy positioning approach. UWB is chosen for two distinct reasons. First, it does not rely on global navigation satellite systems like GPS, making it able to be applied indoors or in an environment where GPS signal is unstable. Second, it is immune to interference from other signals and accurate enough to guide unmanned ground vehicles moving precisely in a complex environment within a narrow road. In this paper, three UWB base stations are aggregated as a group in a 2D space for localization. A large number of tests are performed with a UWB base station cluster in order to validate its positioning performance. Based on the experiment results, we further develop a dynamic particle swarm optimization-based algorithm and a genetic algorithm to deploy multiple clusters of UWB base stations to cover an area of interest. The performance of the proposed algorithms has been tested through a series of simulations. Finally, experiments using unmanned ground vehicles are carried out to validate the localization performance. The results confirm that the robots can follow complex paths accurately with the proposed UWB-based positioning system.

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Section: Related Workmentioning

confidence: 99%

UWB Base Station Cluster Localization for Unmanned Ground Vehicle Guidance

Ding

et al. 2021

Mathematical Problems in Engineering

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“…The goal of this paper is not to present a complete summary of mobile agents’ navigation, but to focus on the discussions of multiple sensors’ fusion methods in mobile agents’ indoor navigation. In spite of several recent publications on related work [ 14 , 15 ], this work is obviously different from them, in that we focus on the multi-sensor fusion methods rather than a discussion of positioning [ 14 ], mapping, and way finding [ 15 ]. Namely, we focus on the discussion of sensors’ functionalities and the fusion methods of them in navigation rather than pure algorithms or the navigation task.…”

Section: Introductionmentioning

confidence: 99%

An Outline of Multi-Sensor Fusion Methods for Mobile Agents Indoor Navigation

Yang

Zhang

et al. 2021

Sensors

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Indoor autonomous navigation refers to the perception and exploration abilities of mobile agents in unknown indoor environments with the help of various sensors. It is the basic and one of the most important functions of mobile agents. In spite of the high performance of the single-sensor navigation method, multi-sensor fusion methods still potentially improve the perception and navigation abilities of mobile agents. This work summarizes the multi-sensor fusion methods for mobile agents’ navigation by: (1) analyzing and comparing the advantages and disadvantages of a single sensor in the task of navigation; (2) introducing the mainstream technologies of multi-sensor fusion methods, including various combinations of sensors and several widely recognized multi-modal sensor datasets. Finally, we discuss the possible technique trends of multi-sensor fusion methods, especially its technique challenges in practical navigation environments.

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“…For this reason, inside buildings, it is unlikely to receive a usable GPS signal to translate the navigation services designed for the outside into enclosed spaces. Therefore, it is necessary, in order to accurately localize individuals in indoor environment and to provide them wayfinding and navigation support, to find alternative technologies [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

On Supporting University Communities in Indoor Wayfinding: An Inclusive Design Approach

Prandi

Delnevo

Salomoni

et al. 2021

Sensors

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Mobility can be defined as the ability of people to move, live and interact with the space. In this context, indoor mobility, in terms of indoor localization and wayfinding, is a relevant topic due to the challenges it presents, in comparison with outdoor mobility, where GPS is hardly exploited. Knowing how to move in an indoor environment can be crucial for people with disabilities, and in particular for blind users, but it can provide several advantages also to any person who is moving in an unfamiliar place. Following this line of thought, we employed an inclusive by design approach to implement and deploy a system that comprises an Internet of Things infrastructure and an accessible mobile application to provide wayfinding functions, targeting the University community. As a real word case study, we considered the University of Bologna, designing a system able to be deployed in buildings with different configurations and settings, considering also historical buildings. The final system has been evaluated in three different scenarios, considering three different target audiences (18 users in total): i. students with disabilities (i.e., visual and mobility impairments); ii. campus students; and iii. visitors and tourists. Results reveal that all the participants enjoyed the provided functions and the indoor localization strategy was fine enough to provide a good wayfinding experience.

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Indoor positioning and wayfinding systems: a survey

Cited by 173 publications

References 144 publications

UWB Base Station Cluster Localization for Unmanned Ground Vehicle Guidance

UWB Base Station Cluster Localization for Unmanned Ground Vehicle Guidance

An Outline of Multi-Sensor Fusion Methods for Mobile Agents Indoor Navigation

On Supporting University Communities in Indoor Wayfinding: An Inclusive Design Approach

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