Indoor positioning using Ultra-wide band (UWB) technologies: Positioning accuracies and sensors' performances

Dabove, Paolo; Pietra, Vincenzo Di; Piras, Marco; Jabbar, Ansar Abdul; Kazim, Syed Ali

doi:10.1109/plans.2018.8373379

Cited by 101 publications

(54 citation statements)

References 11 publications

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“…Actually, information from the smartphone navigation system is also assumed to be available, in terms of a rough position estimates inside of the museum and of camera orientation during the image acquisition: such information can be exploited in order to reduce the number of artworks which should be considered in the recognition process. It is worth to notice that, despite the use of more complex navigation strategies (for instance introducing the use of sensors not currently embedded in smartphones (Dabove et al, 2018, Sakr et al, 2018) allows very good indoor positioning performance, in this work just a rough position information is assumed to be available (Lukianto and Sternberg, 2011, Saeedi et al, 2014, Masiero et al, 2014, hence not requiring the installation of any specific sensor/infrastructure in the museum nor on the user device.…”

Section: Overviewmentioning

confidence: 99%

Initial Evaluation of the Potential of Smartphone Stereo-Vision in Museum Visits

Masiero

Tucci

Conti

et al. 2019

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

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<p><strong>Abstract.</strong> The recent introduction of new technologies such as augmented reality, machine learning and the worldwide spread of mobile devices provided with imaging, navigation sensors and high computational power can be exploited in order to drammatically change the museum visit experience. Differently from the traditional use of museum docents or audio guides, the introduction of digital technologies already proved to be useful in order to improve the interest of the visitor thanks to the increased interaction and involvement, reached also by means of visual effects and animations. Actually, the availability of 3D representations, augmented reality and navigation abilities directly on the visitor’s device can lead to a personalized visit, enabling the visitor to have an experience tailored on his/her needs. In this framework, this paper aims at investigating the potentialities of smartphone stereo-vision to improve the geometric information about the artworks available on the visitor’s device. More specifically, in this work smartphone stereo-vision will used as a 3D model generation tool in a 3D artwork recognition system based on a neural network classifier.</p>

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Section: Overviewmentioning

confidence: 99%

Initial Evaluation of the Potential of Smartphone Stereo-Vision in Museum Visits

Masiero

Tucci

Conti

et al. 2019

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

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“…We deployed a team of DJI Matrice 100 UAVs and used an ultra-wideband (UWB) system, Pozyx [16], for localization of the UAVs to control a stable FOV topology according to our theoretical results. To conduct experiments of topology control using onboard UWB localization, we place six Pozyx anchor UWB nodes in the environment.…”

Section: Portable Multi-robot Experimental Setupmentioning

confidence: 99%

Experimental Validation of Stable Coordination for Multi-Robot Systems with Limited Fields of View using a Portable Multi-Robot Testbed- EXTENDED ABSTRACT

Mukherjee

Santilli

Gasparri

et al. 2019

2019 International Symposium on Multi-Robot and Multi-Agent Systems (MRS)

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“…In a line-of-sight (LOS) environment, UWB has high ranging accuracy. The literature [4] shows that the accuracy is about 320 ± 30 mm in an indoor office room. However, in some special scenarios, such as warehousing robot location, emergency rescue, etc., the indoor environment is more complex, and the UWB signal may be blocked by people, goods, or other obstacles, resulting in the signal multi-path effect, the intensity attenuation, even signal loss and so on, which leads to the sharply decline of UWB positioning accuracy [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

An Adaptive UWB/MEMS-IMU Complementary Kalman Filter for Indoor Location in NLOS Environment

Liu

Jian

et al. 2019

Remote Sensing

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High precision positioning of UWB (ultra-wideband) in NLOS (non-line-of-sight) environment is one of the hot issues in the direction of indoor positioning. In this paper, a method of using a complementary Kalman filter (CKF) to fuse and filter UWB and IMU (inertial measurement unit) data and track the errors of variables such as position, speed, and direction is presented. Based on the uncertainty of magnetometer and acceleration, the noise covariance matrix of magnetometer and accelerometer is calculated dynamically, and then the weight of magnetometer data is set adaptively to correct the directional error of gyroscope. Based on the uncertainty of UWB distance observations, the covariance matrix of UWB measurement noise is calculated dynamically, and then the weight of UWB data observations is set adaptively to correct the position error. The position, velocity and direction errors are corrected by the fusion of UWB and IMU. The experimental results show that the algorithm can reduce the gyroscope deviation with magnetic noise and motion noise, so that the orientation estimates can be improved, as well as the positioning accuracy can be increased with UWB ranging noise.

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Indoor positioning using Ultra-wide band (UWB) technologies: Positioning accuracies and sensors' performances

Cited by 101 publications

References 11 publications

Initial Evaluation of the Potential of Smartphone Stereo-Vision in Museum Visits

Initial Evaluation of the Potential of Smartphone Stereo-Vision in Museum Visits

Experimental Validation of Stable Coordination for Multi-Robot Systems with Limited Fields of View using a Portable Multi-Robot Testbed- EXTENDED ABSTRACT

An Adaptive UWB/MEMS-IMU Complementary Kalman Filter for Indoor Location in NLOS Environment

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