Inertial Sensor-Based Indoor Pedestrian Localization with Minimum 802.15.4a Configuration

Lee, Seung-Woo; Kim, Byounggeun; Kim, Hoon; Ha, Rhan; Cha, Hojung

doi:10.1109/tii.2011.2158832

Cited by 76 publications

(55 citation statements)

References 20 publications

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“…In these studies, simultaneous localization of a moving agent, which can be a pedestrian (e.g. Lee et al, 2011;Lim, 2009) or a mobile robot (e.g. Caballero et al, 2010;Djugash et al, 2006;Graefenstein et al, 2010;Kurth et al, 2003), and mapping of static wireless devices based on the RF signal measurements is developed.…”

Section: Related Workmentioning

confidence: 99%

SLAM-inspired simultaneous localization of UAV and RF sources with unknown transmitted power

Dehghan

Moradi

2015

Transactions of the Institute of Measurement and Control

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In the unmanned aerial vehicle (UAV) based localization of slow-moving radio frequency (RF) sources with unknown transmitted strength of signal, such as a person with a cell phone in a search and rescue mission, the UAV navigation errors are significant sources of localization error. Although the use of a global positioning system (GPS) can reduce the UAV's localization error significantly resulting in more accurate RF source localization, if the GPS signal is lost temporarily or permanently, the accuracy of the UAV-based localization decreases rapidly. In this paper, a simultaneous localization and mapping (SLAM)-inspired approach for simultaneous localization of UAV and RF sources (SLUS) is proposed. The proposed approach solves these two connected problems, i.e. the UAV localization and RF source localization, simultaneously to decrease the error of the UAV position estimation and the error of the RF source localization. In the proposed approach, beside the UAV position prediction, the RF source position prediction is also performed. Then the predicted states are augmented and the augmented predicted state information is corrected using range-ratio and bearing observations, i.e. RF source features, considering the unknown transmitted power. The proposed approach is simulated and the results show that the normal divergence of a target localization and the divergence of the UAV navigation in latitude and longitude channels have been eliminated using this approach. In other words, simultaneous localization of the UAV and RF sources uses the RF sources, as features in the environment, to aid the navigation system. Although the approach is similar to the mapping of RF sources in the environment, the created map would be useless after finding the RF sources. That is why SLUS has been used instead of SLAM. The main contributions of this work are: 1) performing simultaneous localization of a UAV and targets using RF signals, especially in a non-line of sight (NLOS) condition; 2) using difference of signal strength, i.e. differential received strength signal indicator (DRSSI), to eliminate the impact of unknown target signal power; and 3) simultaneous multi-target localization and tracking.

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Section: Related Workmentioning

confidence: 99%

SLAM-inspired simultaneous localization of UAV and RF sources with unknown transmitted power

Dehghan

Moradi

2015

Transactions of the Institute of Measurement and Control

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“…Localization of people has been studied extensively, and various different technologies have been proposed [43]- [47]. Commercially ready solutions for outdoor localization already exist such as GPS and GLONASS.…”

Section: B Team Localization Systemmentioning

confidence: 99%

Localization Services for Online Common Operational Picture and Situation Awareness

et al. 2013

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Many operations, be they military, police, rescue, or other field operations, require localization services and online situation awareness to make them effective. Questions such as how many people are inside a building and their locations are essential. In this paper, an online localization and situation awareness system is presented, called Mobile Urban Situation Awareness System (MUSAS), for gathering and maintaining localization information, to form a common operational picture. The MUSAS provides multiple localization services, as well as visualization of other sensor data, in a common frame of reference. The information and common operational picture of the system is conveyed to all parties involved in the operation, the field team, and people in the command post. In this paper, a general system architecture for enabling localization based situation awareness is designed and the MUSAS system solution is presented. The developed subsystem components and forming of the common operational picture are summarized, and the future potential of the system for various scenarios is discussed. In the demonstration, the MUSAS is deployed to an unknown building, in an ad hoc fashion, to provide situation awareness in an urban indoor military operation.

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“…As an example of indoor positioning based on the TOA technique, Ultra Wide Band Impulse Radio (UWB-IR) can be used due to its high resolution in the time domain [98], [99].…”

Section: Position Estimation/real-time Location System (Rtls)mentioning

confidence: 99%

Survey of RFID and Its Application to International Ocean/Air Container Tracking

Katayama

Hayashi

Shimizu

2012

IEICE Trans. Commun.

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SUMMARY"Internet of Things" (IoT) requires information to be collected from "anything", "anytime", and "anywhere". In order to achieve this, wireless devices are required that have (1) automatic data acquisition capability, (2) small size, (3) long life, and (4) long range communication capability. One way to meet these requirements is to adopt active Radio Frequency Identification (RFID) systems. Active RFID is more advantageous than passive RFID and enables higher data reading performance over longer distances. This paper surveys active RFID systems, the services they currently promise to provide, technical problems common to these services, and the direction in which research should head in the future. It also reports the results of EPCglobal (EPC: Electronic Product Code) pilot tests conducted on global logistics for tracking ocean/air container transportation using active RFID systems for which we developed several new types of active RFID tags. The test results confirm that our active RFID tags have sufficient capability and low power consumption to well support ocean/air transportation and logistics service.

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Inertial Sensor-Based Indoor Pedestrian Localization with Minimum 802.15.4a Configuration

Cited by 76 publications

References 20 publications

SLAM-inspired simultaneous localization of UAV and RF sources with unknown transmitted power

SLAM-inspired simultaneous localization of UAV and RF sources with unknown transmitted power

Localization Services for Online Common Operational Picture and Situation Awareness

Survey of RFID and Its Application to International Ocean/Air Container Tracking

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