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Sensor integration in a low cost land mobile mapping system.

Madeira S, Gonçalves JA, Bastos L - Sensors (Basel) (2012)

Bottom Line: Mobile mapping is a multidisciplinary technique which requires several dedicated equipment, calibration procedures that must be as rigorous as possible, time synchronization of all acquired data and software for data processing and extraction of additional information.To decrease the cost and complexity of Mobile Mapping Systems (MMS), the use of less expensive sensors and the simplification of procedures for calibration and data acquisition are mandatory features.The results discussed here show that this goal has been achieved.

View Article: PubMed Central - PubMed

Affiliation: Universidade de Tras-Os-Montes e Alto Douro, Vila Real, Portugal. smadeira@utad.pt

ABSTRACT
Mobile mapping is a multidisciplinary technique which requires several dedicated equipment, calibration procedures that must be as rigorous as possible, time synchronization of all acquired data and software for data processing and extraction of additional information. To decrease the cost and complexity of Mobile Mapping Systems (MMS), the use of less expensive sensors and the simplification of procedures for calibration and data acquisition are mandatory features. This article refers to the use of MMS technology, focusing on the main aspects that need to be addressed to guarantee proper data acquisition and describing the way those aspects were handled in a terrestrial MMS developed at the University of Porto. In this case the main aim was to implement a low cost system while maintaining good quality standards of the acquired georeferenced information. The results discussed here show that this goal has been achieved.

No MeSH data available.


GPS/INS integration using Kalman filter. The loosely coupled case.
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f3-sensors-12-02935: GPS/INS integration using Kalman filter. The loosely coupled case.

Mentions: Various strategies or modes have been developed to integrate the data streams from the IMU and GNSS receiver, each based on a different way of how the data from the instruments are processed [9]. Figure 3 shows a diagram with the loosely coupled integration of GPS receiver and IMU measures, by means of a Kalman filter.


Sensor integration in a low cost land mobile mapping system.

Madeira S, Gonçalves JA, Bastos L - Sensors (Basel) (2012)

GPS/INS integration using Kalman filter. The loosely coupled case.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3376609&req=5

f3-sensors-12-02935: GPS/INS integration using Kalman filter. The loosely coupled case.
Mentions: Various strategies or modes have been developed to integrate the data streams from the IMU and GNSS receiver, each based on a different way of how the data from the instruments are processed [9]. Figure 3 shows a diagram with the loosely coupled integration of GPS receiver and IMU measures, by means of a Kalman filter.

Bottom Line: Mobile mapping is a multidisciplinary technique which requires several dedicated equipment, calibration procedures that must be as rigorous as possible, time synchronization of all acquired data and software for data processing and extraction of additional information.To decrease the cost and complexity of Mobile Mapping Systems (MMS), the use of less expensive sensors and the simplification of procedures for calibration and data acquisition are mandatory features.The results discussed here show that this goal has been achieved.

View Article: PubMed Central - PubMed

Affiliation: Universidade de Tras-Os-Montes e Alto Douro, Vila Real, Portugal. smadeira@utad.pt

ABSTRACT
Mobile mapping is a multidisciplinary technique which requires several dedicated equipment, calibration procedures that must be as rigorous as possible, time synchronization of all acquired data and software for data processing and extraction of additional information. To decrease the cost and complexity of Mobile Mapping Systems (MMS), the use of less expensive sensors and the simplification of procedures for calibration and data acquisition are mandatory features. This article refers to the use of MMS technology, focusing on the main aspects that need to be addressed to guarantee proper data acquisition and describing the way those aspects were handled in a terrestrial MMS developed at the University of Porto. In this case the main aim was to implement a low cost system while maintaining good quality standards of the acquired georeferenced information. The results discussed here show that this goal has been achieved.

No MeSH data available.