A Review of Technologies and Techniques for Indoor Navigation Systems for the Visually Impaired

Simões, Walter Charles Sousa Seiffert; Machado, Guido Soprano; Sales, Andre Mathias Algaranhaes de; Lucena, Mateus Martínez De; Jazdi, Nasser; Lucena, Vicente Ferreira de

doi:10.3390/s20143935

Cited by 80 publications

(40 citation statements)

References 137 publications

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“…Numerous building services and navigational applications' critical task is to determine an entity's relative position in an indoor environment. A plethora of literature covers different aspects of this problem [8][9][10][11][12][13]. Solutions and systems being developed offer a wide range of accuracy.…”

Section: Related Workmentioning

confidence: 99%

Smart Hard Hats: Sensing for Worker’s Safety in Dangerous Work Environments

E¹

2020

Preprint

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Accidents and mishaps in industrial environments like construction, mining, and transport are rampant - mainly due to human negligence and improper monitoring of the workplace. In this paper, we address the safety of workers operating in dangerous environments by improving their situational awareness. According to Occupational health and safety rules, everyone must wear hard hats while on site. Our main idea is to make the hard hats smart by incorporating miniature-sized Doppler radars sensing the users’ surroundings. These Doppler radars are lightweight, rugged, and consume low-power compared to vision-based solutions. This paper discusses the observability of range from Doppler frequency measurements and the magnitude of estimation errors introduced by the human head, walking, and working motions. We present the framework to estimate the position of walls and targets surrounding the worker. For testing, we simulated an indoor environment with randomly moving workers. Experiments showed that once observability conditions are met, human head and walking movements can be handled through added noise in the system. We also present an innovative idea of using two Doppler radars to obtain the estimators’ initial estimates, reducing the estimation error to less than 5cm and convergence time by more than 80

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Section: Related Workmentioning

confidence: 99%

Smart Hard Hats: Sensing for Worker’s Safety in Dangerous Work Environments

E¹

2020

Preprint

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“…The primary function of indoor positioning is similar to GPS, track on a map a tagged mobile unit that can be an asset or person [36]. A typical IPS is an indoor wireless positioning technology [37] that works with radio-frequency, optical, or acoustic tags and chips [38]. The IPS tags are always-active and continuously broadcast signals to beacons [37].…”

Section: Introductionmentioning

confidence: 99%

Indoor Positioning Systems Can Revolutionise Digital Lean

2021

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The powerful combination of lean principles and digital technologies accelerates waste identification and mitigation faster than traditional lean methods. The new digital lean (also referred to as Lean 4.0) solutions incorporate sensors and digital equipment, yielding innovative solutions that extend the reach of traditional lean tools. The tracking of flexible and configurable production systems is not as straightforward as in a simple conveyor. This paper examines how the information provided by indoor positioning systems (IPS) can be utilised in the digital transformation of flexible manufacturing. The proposed IPS-based method enriches the information sources of value stream mapping and transforms positional data into key-performance indicators used in Lean Manufacturing. The challenges of flexible and reconfigurable manufacturing require a dynamic value stream mapping. To handle this problem, a process mining-based solution has been proposed. A case study is provided to show how the proposed method can be employed for monitoring and improving manufacturing efficiency.

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“…Several survey/review articles about indoor positioning and localization have been published in the last few years. However, they mostly emphasised on the technologies, techniques and algorithms for providing positioning indoors [ 5 , 6 , 9 , 21 ] and on the role of Indoor Positioning Systems (IPSs) in IoT applications, such as smart cities and smart transportation. Given the rapid development of computing paradigms, devices (smartphones, wearables, IoT, among others) and applications with LBS components, make necessary to perform a systematic review with a new point-of-view oriented to the positioning platforms and the way to interact with them.…”

Section: Introductionmentioning

confidence: 99%

Cloud Platforms for Context-Adaptive Positioning and Localisation in GNSS-Denied Scenarios—A Systematic Review

Quezada-Gaibor

Torres-Sospedra

Nurmi

et al. 2021

Sensors

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Cloud Computing and Cloud Platforms have become an essential resource for businesses, due to their advanced capabilities, performance, and functionalities. Data redundancy, scalability, and security, are among the key features offered by cloud platforms. Location-Based Services (LBS) often exploit cloud platforms to host positioning and localisation systems. This paper introduces a systematic review of current positioning platforms for GNSS-denied scenarios. We have undertaken a comprehensive analysis of each component of the positioning and localisation systems, including techniques, protocols, standards, and cloud services used in the state-of-the-art deployments. Furthermore, this paper identifies the limitations of existing solutions, outlining shortcomings in areas that are rarely subjected to scrutiny in existing reviews of indoor positioning, such as computing paradigms, privacy, and fault tolerance. We then examine contributions in the areas of efficient computation, interoperability, positioning, and localisation. Finally, we provide a brief discussion concerning the challenges for cloud platforms based on GNSS-denied scenarios.

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A Review of Technologies and Techniques for Indoor Navigation Systems for the Visually Impaired

Cited by 80 publications

References 137 publications

Smart Hard Hats: Sensing for Worker’s Safety in Dangerous Work Environments

Smart Hard Hats: Sensing for Worker’s Safety in Dangerous Work Environments

Indoor Positioning Systems Can Revolutionise Digital Lean

Cloud Platforms for Context-Adaptive Positioning and Localisation in GNSS-Denied Scenarios—A Systematic Review

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