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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.


Relative orientation between two cameras.
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f5-sensors-12-02935: Relative orientation between two cameras.

Mentions: The relative positions and rotations between MMS components have to be known with sufficient accuracy. For each component pair six relative orientation parameters are defined: three translations and three rotations. Figure 5 shows an example of relative orientation parameters between two video cameras.


Sensor integration in a low cost land mobile mapping system.

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

Relative orientation between two cameras.
© Copyright Policy
Related In: Results  -  Collection

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

f5-sensors-12-02935: Relative orientation between two cameras.
Mentions: The relative positions and rotations between MMS components have to be known with sufficient accuracy. For each component pair six relative orientation parameters are defined: three translations and three rotations. Figure 5 shows an example of relative orientation parameters between two video cameras.

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.