Indoor Localization and Human Activity Tracking with Multiple Kinect Sensors

Yang, Shunkun; Hans, Akshat; Zhao, Wenbing; Luo, Xiong

doi:10.1007/978-3-030-25590-9_2

Cited by 7 publications

(2 citation statements)

References 36 publications

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“…The weakness of the model is that it does not identify elements in the vertical plane. This deficiency (horizontal–vertical perception) is corrected with the use of stereo cameras, such as Microsoft Kinect [ 112 ].…”

Section: Indoor Positioning Systemsmentioning

confidence: 99%

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

Simões

Machado

Sales

et al. 2020

Sensors

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Technologies and techniques of location and navigation are advancing, allowing greater precision in locating people in complex and challenging conditions. These advances have attracted growing interest from the scientific community in using indoor positioning systems (IPSs) with a higher degree of precision and fast delivery time, for groups of people such as the visually impaired, to some extent improving their quality of life. Much research brings together various works that deal with the physical and logical approaches of IPSs to give the reader a more general view of the models. These surveys, however, need to be continuously revisited to update the literature on the features described. This paper presents an expansion of the range of technologies and methodologies for assisting the visually impaired in previous works, providing readers and researchers with a more recent version of what was done and the advantages and disadvantages of each approach to guide reviews and discussions about these topics. Finally, we discuss a series of considerations and future trends for the construction of indoor navigation and location systems for the visually impaired.

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Section: Indoor Positioning Systemsmentioning

confidence: 99%

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

Simões

Machado

Sales

et al. 2020

Sensors

View full text Add to dashboard Cite

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“…Nevertheless, most of the depth-image based localization techniques need to locate the target carrying a camera [39], which may incur high deployment costs due to the high mobility of underground personnel and equipment. Moreover, some localization schemes use fixed cameras for locating [40]. However, due to multiple production processes and frequent changes in the working face, such localization solutions require fixed cameras to be deployed several m apart or cameras to be redeployed as the working face moves.…”

Section: Introductionmentioning

confidence: 99%

MineBL: A Battery-Free Localization Scheme with Binocular Camera for Coal Mine

Zhang

Yin

et al. 2022

Sensors

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Accurate localization in underground coal mining is a challenging technology in coal mine safety production. This paper proposes a low-cost battery-free localization scheme based on depth images, called MineBL. The main idea is to utilize the battery-free low-cost reflective balls as position nodes and realize underground target localization with a series of algorithms. In particular, the paper designs a data enhancement strategy based on small-target reorganization to increase the identification accuracy of tiny position nodes. Moreover, a novel ranging algorithm based on multi-filter cooperative denoising has been proposed, and an optimized weighted centroid location algorithm based on multilateral location errors has been designed to minimize underground localization errors. Many experiments in the indoor laboratories and the underground coal mine laboratories have been conducted, and the experimental results have verified that MineBL has good localization performances, with localization errors less than 30 cm in 95% of cases. Therefore, MineBL has great potential to provide a low-cost and effective solution for precise target localization in complex underground environments.

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