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Sensors 2012, 12(3), 2935-2953; doi:10.3390/s120302935

Sensor Integration in a Low Cost Land Mobile Mapping System

Universidade de Tras-Os-Montes e Alto Douro, Apartado 1013, 5000-801 Vila Real, Portugal
CIMAR/CIIMAR, Centro Interdisciplinar de Investigação Marinha e Ambiental, Universidade do Porto, Rua dos Bragas, 289, 4050-123 Porto, Portugal
Departamento de Geociências, Ambiente e Ordenamento do Território, Faculdade de Ciências da, Universidade do Porto, Rua Campo Alegre 687, 4169-007 Porto, Portugal
Author to whom correspondence should be addressed.
Received: 29 January 2012 / Revised: 16 February 2012 / Accepted: 23 February 2012 / Published: 2 March 2012
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Portugal)
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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. View Full-Text
Keywords: mobile mapping system; digital camera; camera calibration; global navigation satellite systems; inertial navigation system mobile mapping system; digital camera; camera calibration; global navigation satellite systems; inertial navigation system

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Madeira, S.; Gonçalves, J.A.; Bastos, L. Sensor Integration in a Low Cost Land Mobile Mapping System. Sensors 2012, 12, 2935-2953.

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