Smartphones Based Mobile Mapping Systems

Al-Hamad, Amr; El‐Sheimy, Naser

doi:10.5194/isprsarchives-xl-5-29-2014

Cited by 19 publications

(15 citation statements)

References 6 publications

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“…Mapping results using captured images can be found in (Al-Hamad & El-Sheimy, 2014). As can be noticed from the table, for pedestrians, capturing images for mapping can give more accurate results than using a video.…”

Section: Results and Analysismentioning

confidence: 71%

“…The work in this paper is built on a previous published work in (Al-Hamad & El-Sheimy, 2014). In that research work, promising mapping results have been obtained using captured images from smartphones which shows the ability of using smartphones for different mapping applications.…”

Section: Gpsvanmentioning

confidence: 99%

“…A specially developed Android application has been used to record a synchronized video with GPS and sensors measurements. In (Al-Hamad & El-Sheimy, 2014) the size of the used images was 4128x3096 pixels which is approximately six times of the size of the images obtained from the recorded video in this work. This degradation of the image size will affect the final mapping solution accuracy as will be discussed in section 5.…”

Section: The Used Devicementioning

confidence: 99%

“…Using a set of matched points, and therefore a set of distances values, a non-linear least square estimator is used to calculate the best IOPs and EOPs values which minimize the distances between the matched points and their corresponding epipolar lines. A detailed explanation of IOPs/EOPs correction step can be found in (Al-Hamad & El-Sheimy, 2014). …”

Section: Eops and Iops Correctionmentioning

confidence: 99%

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Video-based Mobile Mapping System Using Smartphones

Al-Hamad

Moussa

El‐Sheimy

2014

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

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ABSTRACT:The last two decades have witnessed a huge growth in the demand for geo-spatial data. This demand has encouraged researchers around the world to develop new algorithms and design new mapping systems in order to obtain reliable sources for geo-spatial data. Mobile Mapping Systems (MMS) are one of the main sources for mapping and Geographic Information Systems (GIS) data. MMS integrate various remote sensing sensors, such as cameras and LiDAR, along with navigation sensors to provide the 3D coordinates of points of interest from moving platform (e.g. cars, air planes, etc.). Although MMS can provide accurate mapping solution for different GIS applications, the cost of these systems is not affordable for many users and only large scale companies and institutions can benefits from MMS systems.The main objective of this paper is to propose a new low cost MMS with reasonable accuracy using the available sensors in smartphones and its video camera. Using the smartphone video camera, instead of capturing individual images, makes the system easier to be used by non-professional users since the system will automatically extract the highly overlapping frames out of the video without the user intervention. Results of the proposed system are presented which demonstrate the effect of the number of the used images in mapping solution. In addition, the accuracy of the mapping results obtained from capturing a video is compared to the same results obtained from using separate captured images instead of video.

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Section: Results and Analysismentioning

confidence: 71%

Section: Gpsvanmentioning

confidence: 99%

Section: The Used Devicementioning

confidence: 99%

Section: Eops and Iops Correctionmentioning

confidence: 99%

See 2 more Smart Citations

Video-based Mobile Mapping System Using Smartphones

Al-Hamad

Moussa

El‐Sheimy

2014

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

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“…Al-Hamad (2014a) introduced the "Mobile Mapping Using Smartphones" method, where smartphone sensors (i.e., camera, GPS, IMU, and Magnetometer) are used as MMS. The initial position and orientation of the camera at the time of exposure was determined using low-cost GPS and motion sensors.…”

Section: Mms and Smartphonementioning

confidence: 99%

The Feasibility of 3d Point Cloud Generation From Smartphones

Alsubaie

El‐Sheimy

2016

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

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ABSTRACT:This paper proposes a new technique for increasing the accuracy of direct geo-referenced image-based 3D point cloud generated from low-cost sensors in smartphones. The smartphone's motion sensors are used to directly acquire the Exterior Orientation Parameters (EOPs) of the captured images. These EOPs, along with the Interior Orientation Parameters (IOPs) of the camera/ phone, are used to reconstruct the image-based 3D point cloud. However, because smartphone motion sensors suffer from poor GPS accuracy, accumulated drift and high signal noise, inaccurate 3D mapping solutions often result. Therefore, horizontal and vertical linear features, visible in each image, are extracted and used as constraints in the bundle adjustment procedure. These constraints correct the relative position and orientation of the 3D mapping solution. Once the enhanced EOPs are estimated, the semi-global matching algorithm (SGM) is used to generate the image-based dense 3D point cloud. Statistical analysis and assessment are implemented herein, in order to demonstrate the feasibility of 3D point cloud generation from the consumer-grade sensors in smartphones.

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