Indoor Tracking: Theory, Methods, and Technologies

By Davide Dardari, Pau Closas, Petar M. Djuric. IEEE Transactions on Vehicular Technology, 2015

542 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/ad10634e15ac7cb71ac435d3efbfbb2176eb1a61

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Citations in the corpus

Survey of Cellular Mobile Radio Localization Methods: From 1G to 5G (2018, methodology): “On the one hand, fingerprinting techniques are typically implemented in WLAN systems [15], [18], [20], [26], to take advantage of”
Indoor Positioning Systems Based on Visible Light Communication: State of the Art (2017, background): “However, the positioning accuracy of GPS is located in the order of several meters [4] which is unacceptably large for indoor scenarios.”
Reconfigurable Intelligent Surfaces for Localization: Position and Orientation Error Bounds (2020, background): “For TOA estimation, two possible schemes can be considered based on correlators (i.e., matched ﬁlters) or on energy-based solutions (i.e., energy detectors) [59]–[62].”
The Integrated Sensing and Communication Revolution for 6G: Vision, Techniques, and Applications (2024, unknown): “In each iteration, p ( x n , m | y 1 : n ) is computed, starting from the belief at time n − 1 incorporating the new measurement y n and utilizing the statistical mobility model of the user, characterized by the probability density function p ( x n | x n − 1 ) [222].”
A Review of Wearable Technologies for Elderly Care that Can Accurately Track Indoor Position, Recognize Physical Activities and Monitor Vital Signs in Real Time (2017, background): “These technologies are currently accurate to approximately several meters for outdoor scenarios [10]; however, they cannot be used to determine precise indoor locations because of the signiﬁcant attenuation of satellite signals in buildings.”
A Survey of Selected Indoor Positioning Methods for Smartphones (2017, methodology): “If the probabilistic model of the transitional density is described by a Markov process of the first order, then the posterior pdf can be calculated recursively as [47]”
Non-GPS Positioning Systems (2017, background): “We have provided a much more detailed and comprehensive table as compared to the one provided in [23]. related technologies, there is an ever increasing number of localization systems that combine two or more technologies or techniques in order to provide better performance in terms of accuracy,…”
A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation (2018, background): “Brief reviews on enabling wireless technologies for localization are available in [15] and [18], and an overview of localization methods is presented in [11], [14], [16], and [19].”