Indoor/Outdoor Seamless Positioning Technologies Integrated on Smart Phone

Pei, Ling; Chen, Ruizhi; Chen, Yuewei; Leppäkoski, Helena; Perttula, Arto

doi:10.1109/spacomm.2009.12

Cited by 41 publications

(21 citation statements)

References 5 publications

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“…The authors concluded that a combination of GPS and WLAN would ensure the best positioning. Pei, et al [17] implemented a combination of several positioning techniques on a Nokia N95 which works on Symbian S60 platform. Three main types of positioning techniques were applied: multi-sensor based technique, satellite (GPS and Assisted GPS) based technique and terrestrial based positioning technique.…”

Section: Combination Of Wlan Gps Cellular and Bluetooth Positioningmentioning

confidence: 99%

Context aware handover algorithms for mobile positioning systems

Khan

Silvadorai²,

Tan

et al. 2014

csci

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This work proposes context aware handover algorithms for mobile positioning systems. The algorithms perform handover among positioning systems based on important contextual factors related to position determination with efficient use of battery. The proposed solution is implemented in the form of an Android application named Locate@nav6. The performance of the proposed solution was tested in selected experimental areas. The handover performance was compared with other existing location applications. The proposed solution performed correct handover among positioning systems in 95 percent of cases studied while two other applications performed correct handover in only 50 percent of cases studied. Battery usage of the proposed solution is less than one third of the battery usage of two other applications. The analysis of the positioning error of the applications demonstrated that, the proposed solution is able to reduce positioning error indirectly by handing over the task of positioning to an appropriate positioning system. This kept the average error of positioning below 42.1 meters for Locate@nav6 while the average error for two other applications namely Google Latitude and Malaysia maps was between 92.7 and 171.13 meters.Keywords handover among mobile positioning systems, power efficient mobile positioning, switching between indoor and outdoor positioning systemsComputer Science • 15 (2) 2014 http://dx

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Section: Combination Of Wlan Gps Cellular and Bluetooth Positioningmentioning

confidence: 99%

Context aware handover algorithms for mobile positioning systems

Khan

Silvadorai²,

Tan

et al. 2014

csci

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“…New positioning technologies have been widely proposed in recent years. Pei (2009) presented three optional indoor/outdoor locating solutions based on multi-sensors, satellite and terrestrial mobile communication network. GNSS and Terrestrial (Sottile et al, 2011) are the most mature and popular technologies for the outdoor positioning.…”

Section: Introductionmentioning

confidence: 99%

Coordinate references for the indoor/outdoor seamless positioning

Ruan

Zhang

Long

et al. 2018

Proc. Int. Cartogr. Assoc.

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Indoor positioning technologies are being developed rapidly, and seamless positioning which connected indoor and outdoor space is a new trend. The indoor and outdoor positioning are not applying the same coordinate system and different indoor positioning scenes uses different indoor local coordinate reference systems. A specific and unified coordinate reference frame is needed as the space basis and premise in seamless positioning application. Trajectory analysis of indoor and outdoor integration also requires a uniform coordinate reference. However, the coordinate reference frame in seamless positioning which can applied to various complex scenarios is lacking of research for a long time. In this paper, we proposed a universal coordinate reference frame in indoor/outdoor seamless positioning. The research focus on analysis and classify the indoor positioning scenes and put forward the coordinate reference system establishment and coordinate transformation methods in each scene. And, through some experiments, the calibration method feasibility was verified.

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“…Examples of such sensors include accelerometers, gyroscopes, compasses, cameras, proximity sensors, and electromyography sensors [4]. In this work, signals of opportunity are defined as signals that were not originally intended for positioning and navigation, and they include radio frequency (RF) signals, e.g., cellular networks, wireless local area networks (WLAN) and Bluetooth [5], and naturally occurring signals, such as Earth’s magnetic field and polarized light from the sun [6]. Each method has its own respective drawback.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Smartphone Indoor Positioning Solution for Mobile LBS

Liu

Chen

Pei

et al. 2012

Sensors

Self Cite

162

142

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Smartphone positioning is an enabling technology used to create new business in the navigation and mobile location-based services (LBS) industries. This paper presents a smartphone indoor positioning engine named HIPE that can be easily integrated with mobile LBS. HIPE is a hybrid solution that fuses measurements of smartphone sensors with wireless signals. The smartphone sensors are used to measure the user’s motion dynamics information (MDI), which represent the spatial correlation of various locations. Two algorithms based on hidden Markov model (HMM) problems, the grid-based filter and the Viterbi algorithm, are used in this paper as the central processor for data fusion to resolve the position estimates, and these algorithms are applicable for different applications, e.g., real-time navigation and location tracking, respectively. HIPE is more widely applicable for various motion scenarios than solutions proposed in previous studies because it uses no deterministic motion models, which have been commonly used in previous works. The experimental results showed that HIPE can provide adequate positioning accuracy and robustness for different scenarios of MDI combinations. HIPE is a cost-efficient solution, and it can work flexibly with different smartphone platforms, which may have different types of sensors available for the measurement of MDI data. The reliability of the positioning solution was found to increase with increasing precision of the MDI data.

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Indoor/Outdoor Seamless Positioning Technologies Integrated on Smart Phone

Cited by 41 publications

References 5 publications

Context aware handover algorithms for mobile positioning systems

Context aware handover algorithms for mobile positioning systems

Coordinate references for the indoor/outdoor seamless positioning

A Hybrid Smartphone Indoor Positioning Solution for Mobile LBS

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