Wszystkie pola: low cost - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Particle swarm optimization algorithm based low cost magnetometer calibration
Autorzy:: Ali, A.
Siddharth, S.
Syed, Z.
El-Sheimy, N.
Powiązania:: https://bibliotekanauki.pl/articles/129567.pdf
Data publikacji:: 2011
Wydawca:: Stowarzyszenie Geodetów Polskich
Tematy:: artificial intelligence
systems
measurement
navigation
algorithm
sensor
sztuczna inteligencja
systemy
pomiar
nawigacja
algorytm
Opis:: Inertial Navigation Systems (INS) consist of accelerometers, gyroscopes and a microprocessor provide inertial digital data from which position and orientation is obtained by integrating the specific forces and rotation rates. In addition to the accelerometers and gyroscopes, magnetometers can be used to derive the absolute user heading based on Earth’s magnetic field. Unfortunately, the measurements of the magnetic field obtained with low cost sensors are corrupted by several errors including manufacturing defects and external electro-magnetic fields. Consequently, proper calibration of the magnetometer is required to achieve high accuracy heading measurements. In this paper, a Particle Swarm Optimization (PSO) based calibration algorithm is presented to estimate the values of the bias and scale factor of low cost magnetometer. The main advantage of this technique is the use of the artificial intelligence which does not need any error modeling or awareness of the nonlinearity. The estimated bias and scale factor errors from the proposed algorithm improve the heading accuracy and the results are also statistically significant. Also, it can help in the development of the Pedestrian Navigation Devices (PNDs) when combined with the INS and GPS/Wi-Fi especially in the indoor environments.
Źródło:: Archiwum Fotogrametrii, Kartografii i Teledetekcji; 2011, 22; 9-23
2083-2214
2391-9477
Pojawia się w:: Archiwum Fotogrametrii, Kartografii i Teledetekcji
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Low cost attitude and heading sensors in terrestrial photogrammetry – calibration and testing
Autorzy:: Kolecki, J.
Kuras, P.
Powiązania:: https://bibliotekanauki.pl/articles/131314.pdf
Data publikacji:: 2011
Wydawca:: Stowarzyszenie Geodetów Polskich
Tematy:: direct georeferencing
IMU
GPS/INS
bundle adjustment
sensor calibration
accuracy test
metoda wiązek
badanie dokładności
Opis:: Most of the contemporary terrestrial mobile mapping systems (MMSs) use tactical or navigation grade inertial measurement units (IMU) to determine the approximated angular exterior orientation (EO) elements of images. Navigation grade IMUs, usually integrated with GNSS receivers, are also used to determine the projection center coordinates. Recent researches show that using also a low-cost attitude and heading reference system (AHRS) or a low-cost IMU, satisfies the demands of certain photogrammetric applications. Our researches aim to evaluate the accuracy of low-cost devices suitable for constructing small, low-cost photogrammetric MMS. During our research two low-cost devices, providing information about image attitude and heading, were tested. The first one is the calibrated Ricoh G700SE GPS camera with an electronic compass and a level indicator. The second device is the Xsens MTi AHRS unit, comprising 3 MEMS (micro-electromechanical systems) gyros, 3 MEMS accelerometers and 3 magnetometers. For the testing purposes the AHRS was combined with the calibrated Nikon D80 SLR camera. The 3D AHRS magnetometer calibration was carried out using the manufacturer's software to compensate for the soft and hard iron effects. The images of three test fields were taken. The images of the first test field with signalized control points were used to determine the boresight rotation matrix of the AHRS. The bundle adjustment was solved separately for each camera and each test field to determine the true (reference) angular exterior orientation parameters. The differences between measured and calculated angles allowed to evaluate the accuracy of the measured angles. The tests results for the GPS camera show high residuals of measured azimuths, however its level indicator allows camera levelling with subdegree accuracy. The results obtained for the low-cost AHRS unit were significantly better, however over 2° residuals for yaw angle were also observed. The results prove the usefulness of the AHRS for constructing a small, hand-held MMS, whereas GPS camera azimuth measurements can be treated rather as a rough approximations in the photogrammetric network adjustment.
Źródło:: Archiwum Fotogrametrii, Kartografii i Teledetekcji; 2011, 22; 249-260
2083-2214
2391-9477
Pojawia się w:: Archiwum Fotogrametrii, Kartografii i Teledetekcji
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Motion estimation by integrated low cost system (vision and MEMS) for positioning of a scooter "Vespa"
Autorzy:: Guarnieri, A.
Milan, N.
Pirotti, F.
Vettore, A.
Powiązania:: https://bibliotekanauki.pl/articles/129827.pdf
Data publikacji:: 2011
Wydawca:: Stowarzyszenie Geodetów Polskich
Tematy:: mobile mapping
orientation sensor
image transformation
IMU
computer vision
czujnik orientacji
przetwarzanie obrazu
wizja komputerowa
Opis:: In the automotive sector, especially in these last decade, a growing number of investigations have taken into account electronic systems to check and correct the behaviour of drivers, increasing road safety. The possibility to identify with high accuracy the vehicle position in a mapping reference frame for driving directions and best-route analysis is also another topic which attracts lot of interest from the research and development sector. To reach the objective of accurate vehicle positioning and integrate response events, it is necessary to estimate time by time the position, orientation and velocity of the system. To this aim low cost GPS and MEMS (sensors can be used. In comparison to a four wheel vehicle, the dynamics of a two wheel vehicle (e.g. a scooter) feature a higher level of complexity. Indeed more degrees of freedom must be taken into account to describe the motion of the latter. For example a scooter can twist sideways, thus generating a roll angle. A slight pitch angle has to be considered as well, since wheel suspensions have a higher degree of motion with respect to four wheel vehicles. In this paper we present a method for the accurate reconstruction of the trajectory of a motorcycle (“Vespa” scooter), which can be used as alternative to the “classical” approach based on the integration of GPS and INS sensors. Position and orientation of the scooter are derived from MEMS data and images acquired by on-board digital camera. A Bayesian filter provides the means for integrating the data from MEMS-based orientation sensor and the GPS receiver.
Źródło:: Archiwum Fotogrametrii, Kartografii i Teledetekcji; 2011, 22; 147-158
2083-2214
2391-9477
Pojawia się w:: Archiwum Fotogrametrii, Kartografii i Teledetekcji
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Dokumentacja fotogrametryczna stanowisk archeologicznych w terenie miejskim na przykładzie Kutaisi, Gruzja
Photogrammetric documentation of archaeological sites in an urban environment: the case study of Kutaisi, Georgia
Autorzy:: Markiewicz, J.
Kowalczyk, M.
Hamburg, J.
Bieńkowski, R.
Powiązania:: https://bibliotekanauki.pl/articles/130572.pdf
Data publikacji:: 2018
Wydawca:: Stowarzyszenie Geodetów Polskich
Tematy:: analiza dokładności
Agisoft PhotoScan
aerotriangulacja
Bagrati
błąd reprojekcji
niskobudżetowy BSL
Gruzja
Kutaisi
SfM
quality assessment
API Agisoft PhotoScan
bundle adjustment
Georgia
reprojection error
low-cost UAV
Opis:: W artykule przedstawione zostały zagadnienia związane z przetwarzaniem i analizą zdjęć, pozyskanych niskobudżetowymi sensorami naziemnymi i Bezzałogowym Systemem Latającym (BSL), miejskich stanowisk archeologicznych zlokalizowanych na terenie Kutaisi w Gruzji. Przedstawiono problematykę przeprowadzania badań archeologicznych na obszarze miejskim oraz przybliżono problem braku danych źródłowych dla badanego terenu. W celu wygenerowania dokumentacji fotogrametrycznej dla stanowiska Bagrati, zdecydowano się na wykorzystanie niskobudżetowego BSL DJI Phantom 3 oraz kamery Pentax. Ze względu na jakość geometryczną i radiometryczną wykorzystywanych sensorów niezbędne było zaproponowanie rozszerzonej metodyki przetwarzania danych z BSL i zdjęć naziemnych w oprogramowaniu Agisoft PhotoScan. W tym celu wykorzystano interfejs programistyczny API (ang. Application Programming Interface), pozwalający na wykorzystanie funkcji oprogramowania niedostępnych w podstawowej wersji aplikacji oraz autorski skrypt stworzony w MatLab. Zaproponowano sposób przetwarzania, filtracji, usuwania oraz wagowania obserwacji. W wyniku przeprowadzonych prac i sposobu filtracji danych poprawiono dokładność procesu aerotriangulacji o rząd wielkości w porównaniu do obserwacji surowych, jak również rozszerzono analizę statystyczną danych.
In this research, the issues related to processing and analysis of the images, acquired by the low-cost terrestrial sensors and an unmanned aerial vehicle (UAV) of the archaeological sites in an urban environment placed in area of Kutaisi, Georgia, have been considered. Taking into account generation of the Bagrati site photogrammetric documentation, the low-cost UAV DJI Phantom 3 and Pentax SLR camera, were chosen. Due to the geometrical and radiometric parameters of the chosen sensors, an extended methodology of UAV and terrestrial data processing in Agisoft PhotoScan was proposed. This task solution was enabled by application programming interface API (which allowed taking advantage of software functions - not available in the basic version of the program) and additionally the script written in MatLab software by authors. The method of processing, filtrating, eliminating and weighting of the measurement observations in the bundle adjustment process was proposed . As a result of performed works, the accuracy of the results of the bundle adjustment, increased significantly in comparison to the raw data. Furthermore, statistical data analysis had been expanded.
Źródło:: Archiwum Fotogrametrii, Kartografii i Teledetekcji; 2018, 30; 123-142
2083-2214
2391-9477
Pojawia się w:: Archiwum Fotogrametrii, Kartografii i Teledetekcji
Dostawca treści:: Biblioteka Nauki

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