Indoor pedestrian navigation system using a modern smartphone

Serra, Alberto; Carboni, Davide; Marotto, Valentina

doi:10.1145/1851600.1851683

Cited by 48 publications

(32 citation statements)

References 2 publications

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“…The SunMap+ application also differs from the Roodin application [10] which uses a QR code approach coupled with a PDR system. This is because the SunMap+ application leverages on real-world object recognition instead of constraining our system to the use of specially embedded codes.…”

Section: Related Workmentioning

confidence: 99%

Interactive Virtual Indoor Navigation System using Visual Recognition and Pedestrian Dead Reckoning Techniques

Chin

Lee

2015

IJSEIA

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Section: Related Workmentioning

confidence: 99%

Interactive Virtual Indoor Navigation System using Visual Recognition and Pedestrian Dead Reckoning Techniques

Chin

Lee

2015

IJSEIA

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“…The easiest way implemented in many research is to provide a static number as the step length. To be more accurate, some researchers differentiated between men and women and provided two static step lengths for each (Parnandi et al 2010, Serra et al 2010.…”

Section: Title and Abstract Blockmentioning

confidence: 99%

“…To do so, the idea of thresholds (Serra et al 2010) was used in this research. Two values as the upper and the lower bounds were used.…”

Section: Detection Of the Stepsmentioning

confidence: 99%

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A New Ubiquitous-Based Indoor Positioning System With Minimum Extra Hardware Using Smart Phones

Pazoky

Chehreghan

Sadeghi‐Niaraki

et al. 2014

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Knowing the position has been an ambition in many areas such as science, military, business, etc. GPS was the realization of this wish in 1970s. Technological advances such as ubiquitous computing, as a conquering perspective, requires any service to work for any user, any place, anytime, and via any network. As GPS cannot provide services in indoor environments, many scientists began to develop indoor positioning systems (IPS). Smart phones penetrating our everyday lives were a great platform to host IPS applications. Sensors in smart phones were another big motive to develop IPS applications. Many researchers have been working on the topic developing various applications. However, the applications introduced lack simplicity. In other words, they need to install a step counter or smart phone on the ankle, which makes it awkward and inapplicable in many situations. In the current study, a new IPS methodology is introduced using only the usual embedded sensors in the smart phones. The robustness of this methodology cannot compete with those of the aforementioned approaches. The price paid for simplicity was decreasing robustness and complicating the methods and formulations. However, methods or tricks to harness the errors to an acceptable range are introduced as the future works.

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“…Serra, Carboni and Marotto (2010) present the early developments of an indoor navigation system that uses the device's accelerometer, compass, camera and internet connectivity. Despite using only the sensor of the device, the proposed application uses datamatrix drawn in maps scattered in the buildings to obtain the buildings map and the starting position.…”

Section: Infrastructure Free Indoormentioning

confidence: 99%

Point of Interest Awareness Using Indoor Positioning With a Mobile Phone

Pombinho¹,

Afonso²,

Carmo³

2011

Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems

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Abstract:Although location based applications have been gaining popularity, most positioning devices do not work when in an indoor environment, hindering the development of both mixed and indoor location based applications. In this paper we present a point of interest aware application that shows information to the user that is dependent on his indoor location. To be able to detect the user's position, we propose a technique, based on the detection of footsteps, and the direction in which they were taken, to be able to calculate the position of the user inside a building. To improve the accuracy of the system, we use information about the buildings floor plan to create a graph that can be used to correct invalid movements.

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Indoor pedestrian navigation system using a modern smartphone

Cited by 48 publications

References 2 publications

Interactive Virtual Indoor Navigation System using Visual Recognition and Pedestrian Dead Reckoning Techniques

Interactive Virtual Indoor Navigation System using Visual Recognition and Pedestrian Dead Reckoning Techniques

A New Ubiquitous-Based Indoor Positioning System With Minimum Extra Hardware Using Smart Phones

Point of Interest Awareness Using Indoor Positioning With a Mobile Phone

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