Inertial sensors for smartphones navigation

Dabove, Paolo; Ghinamo, Giorgio; Lingua, Andrea Maria

doi:10.1186/s40064-015-1572-8

Cited by 26 publications

(20 citation statements)

References 29 publications

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“…Most of the smartphones provide sensors for orientation such as accelerometer, magnetometer and gravity meter and for position and navigation a Global Navigation Satellite System (GNSS) module. Increasingly, gyroscopes and barometers are installed to support orientation and relative positioning via sensor fusion [Dabove et al, 2015, Mourcou et al, 2015. Nevertheless, compared to commercial state of the art sensor systems, as used in autonomous navigation, the values obtained by smartphone sensors must be critically reviewed .…”

Section: Smartphonementioning

confidence: 99%

Versatile Mobile and Stationary Low-Cost Approaches for Hydrological Measurements

Kröhnert

Eltner

2018

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

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In the last decades, an increase in the number of extreme precipitation events has been observed, which leads to increasing risks for flash floods and landslides. Thereby, conventional gauging stations are indispensable for monitoring and prediction. However, they are expensive in construction, management, and maintenance. Thus, density of observation networks is rather low, leading to insufficient spatio-temporal resolution to capture hydrological extreme events that occur with short response times especially in small-scale catchments. Smaller creeks and rivers require permanent observation, as well, to allow for a better understanding of the underlying processes and to enhance forecasting reliability. Today's smartphones with inbuilt cameras, positioning sensors and powerful processing units may serve as wide-spread measurement devices for event-based water gauging during floods. With the aid of volunteered geographic information (VGI), the hydrological network of water gauges can be highly densified in its spatial and temporal domain even for currently unobserved catchments. Furthermore, stationary low-cost solutions based on Raspberry Pi imaging systems are versatile for permanent monitoring of hydrological parameters. Both complementary systems, i.e. smartphone and Raspberry Pi camera, share the same methodology to extract water levels automatically, which is explained in the paper in detail. The annotation of 3D reference data by 2D image measurements is addressed depending on camera setup and river section to be monitored. Accuracies for water stage measurements are in range of several millimetres up to few centimetres.

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Section: Smartphonementioning

confidence: 99%

Versatile Mobile and Stationary Low-Cost Approaches for Hydrological Measurements

Kröhnert

Eltner

2018

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

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“…To overcome the reduction of the frame rate and latencies compensation, inertial (INS) platforms built with MEMS (micro electro-mechanical systems) technology can be integrated in the IRB positioning [12]. Fusing IRB position and attitude measurement with INS measurements, accelerations, and angular velocity measurements are integrated to provide real-time relative position and relative attitude information, while inner INS variables (velocity at the starting point, accelerometer biases, and gyro drift) are estimated using absolute IRB positioning inputs (position and attitude).…”

Section: Cameras + Insmentioning

confidence: 99%

Positioning Techniques with Smartphone Technology: Performances and Methodologies in Outdoor and Indoor Scenarios

Dabove¹,

Pietra²,

Lingua³

2017

Smartphones From an Applied Research Perspective

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Smartphone technology is widespread both in the academy and in the commercial world. Almost every people have today a smartphone in their pocket, that are not only used to call other people but also to share their location on social networks or to plan activities. Today with a smartphone we can compute our position using the sensors settled inside the device that may also include accelerometers, gyroscopes and magnetometers, teslameter, proximity sensors, barometer, and GPS/GNSS chipset. In this chapter we want to analyze the state-of-the-art of the positioning with smartphone technology, considering both outdoor and indoor scenarios. Particular attention will be paid to this last situation, where the accuracy can be improved fusing information coming from more than one sensor. In particular, we will investigate an innovative method of image recognition based (IRB) technology, particularly useful in GNSS denied environment, taking into account the two main problems that arise when the IRB positioning methods are considered: the first one is the optimization of the battery, that implies the minimization of the frame rate, and secondly the latencies due to image processing for visual search solutions, required by the size of the database with the 3D environment images.

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“…The sensor models and the specifications of the lowcost sensors or else called "automotive grade" sensors that are included in smartphones and tablets are usually unknown (Aicardi et al 2014;Dabove, Ghinamo, and Lingua 2015). These sensors show good repeatability, but have errors that prevent their direct usage in applications that require steady performance and accuracy.…”

Section: Introductionmentioning

confidence: 99%

A methodology for the performance evaluation of low-cost accelerometer and magnetometer sensors in geomatics applications

Patonis

Πατιάς

Tziavos

et al. 2018

Geo-spatial Information Science

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This paper presents a methodology and its software implementation for the performance evaluation of low-cost accelerometer and magnetometer sensors for use in geomatics applications. A known mathematical calibration model has been adopted. The method was completed with statistical methodologies for adjusting observations and has been extended to calculate accuracies for the attitude, heading, and tilt angles estimation that are of interest to geomatics applications. The evaluation method consists of two stages. First, the evaluation method reviews the total magnitude of acceleration or the strength of the magnetic field. Second, the evaluation is more detailed and concerns the determination of mathematical parameters that describe both accelerometer and magnetometer working model. A software tool that implements the evaluation model has been developed and is applied both in accelerometer and magnetometer measurement data-sets acquired from a low-cost sensor system.

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Inertial sensors for smartphones navigation

Cited by 26 publications

References 29 publications

Versatile Mobile and Stationary Low-Cost Approaches for Hydrological Measurements

Versatile Mobile and Stationary Low-Cost Approaches for Hydrological Measurements

Positioning Techniques with Smartphone Technology: Performances and Methodologies in Outdoor and Indoor Scenarios

A methodology for the performance evaluation of low-cost accelerometer and magnetometer sensors in geomatics applications

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