Robust pose estimation through visual/GNSS mixing

Πατιάς, Πέτρος; Tsioukas, Vassilios; Pikridas, Christos; Patonis, Photis; Georgiadis, Charalampos

doi:10.1109/vsmm.2016.7863198

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…It should be noted that mobile devices are able to instantly calculate pose estimation using their integrated sensors. In this way, these devices have the potential to be used in geomatics and augmented reality (AR) applications [ 1 , 2 , 3 ].…”

Section: Introductionmentioning

confidence: 99%

A Fusion Method for Combining Low-Cost IMU/Magnetometer Outputs for Use in Applications on Mobile Devices

Patonis

Πατιάς

Tziavos

et al. 2018

Sensors

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This paper presents a fusion method for combining outputs acquired by low-cost inertial measurement units and electronic magnetic compasses. Specifically, measurements of inertial accelerometer and gyroscope sensors are combined with no-inertial magnetometer sensor measurements to provide the optimal three-dimensional (3D) orientation of the sensors’ axis systems in real time. The method combines Euler–Cardan angles and rotation matrix for attitude and heading representation estimation and deals with the “gimbal lock” problem. The mathematical formulation of the method is based on Kalman filter and takes into account the computational cost required for operation on mobile devices as well as the characteristics of the low-cost microelectromechanical sensors. The method was implemented, debugged, and evaluated in a desktop software utility by using a low-cost sensor system, and it was tested in an augmented reality application on an Android mobile device, while its efficiency was evaluated experimentally.

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Section: Introductionmentioning

confidence: 99%

A Fusion Method for Combining Low-Cost IMU/Magnetometer Outputs for Use in Applications on Mobile Devices

Patonis

Πατιάς

Tziavos

et al. 2018

Sensors

View full text Add to dashboard Cite

show abstract

Spatial–Temporal Calibration for Outdoor Location-Based Augmented Reality

Orlandi,

Depedri,

Conci

2024

IEEE Sensors J.

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A Comparative Study on the Use of Smartphone Cameras in Photogrammetry Applications

Patonis

2024

Sensors

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The evaluation of smartphone camera technology for close-range photogrammetry includes assessing captured photos for 3D measurement. In this work, experiments are conducted on many smartphones to study distortion levels and accuracy performance in close-range photogrammetry applications. Analytical methods and specialized digital tools are employed to evaluate the results. OpenCV functions estimate the distortions introduced by the lens. Diagrams, evaluation images, statistical quantities, and indicators are utilized to compare the results among sensors. The accuracy achieved in photogrammetry is examined using the photogrammetric bundle adjustment in a real-world application. In the end, generalized conclusions are drawn regarding this technology’s use in close-range photogrammetry applications.

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Robust pose estimation through visual/GNSS mixing

Cited by 3 publications

References 6 publications

A Fusion Method for Combining Low-Cost IMU/Magnetometer Outputs for Use in Applications on Mobile Devices

A Fusion Method for Combining Low-Cost IMU/Magnetometer Outputs for Use in Applications on Mobile Devices

Spatial–Temporal Calibration for Outdoor Location-Based Augmented Reality

A Comparative Study on the Use of Smartphone Cameras in Photogrammetry Applications

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