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低成本陆地移动测绘系统中的传感器集成。

Sensor integration in a low cost land mobile mapping system.

机构信息

Universidade de Tras-Os-Montes e Alto Douro, Vila Real, Portugal.

出版信息

Sensors (Basel). 2012;12(3):2935-53. doi: 10.3390/s120302935. Epub 2012 Mar 2.

DOI:10.3390/s120302935
PMID:22736985
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3376609/
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.

摘要

移动测绘是一项多学科技术,需要使用多种专用设备,校准程序必须尽可能严格,所有采集数据的时间同步,以及用于数据处理和提取附加信息的软件。为了降低移动测绘系统(MMS)的成本和复杂性,必须使用更便宜的传感器并简化校准和数据采集程序。本文介绍了 MMS 技术的使用,重点介绍了为保证数据采集而需要解决的主要问题,并描述了在波尔图大学开发的地面 MMS 中处理这些问题的方法。在这种情况下,主要目标是在保持所获取地理参考信息的高质量标准的同时,实现低成本系统。这里讨论的结果表明,这个目标已经实现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/401f/3376609/67a442a6d67b/sensors-12-02935f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/401f/3376609/3a7f9930e5cd/sensors-12-02935f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/401f/3376609/3758145f13f3/sensors-12-02935f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/401f/3376609/814b9b1943bb/sensors-12-02935f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/401f/3376609/06da80861cc6/sensors-12-02935f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/401f/3376609/67df87685b94/sensors-12-02935f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/401f/3376609/e53c25cc66f0/sensors-12-02935f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/401f/3376609/56311a29ef8b/sensors-12-02935f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/401f/3376609/745cb71d78c0/sensors-12-02935f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/401f/3376609/4c679d86c335/sensors-12-02935f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/401f/3376609/cd201e46f2ea/sensors-12-02935f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/401f/3376609/69d1128a4d8c/sensors-12-02935f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/401f/3376609/67a442a6d67b/sensors-12-02935f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/401f/3376609/3a7f9930e5cd/sensors-12-02935f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/401f/3376609/3758145f13f3/sensors-12-02935f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/401f/3376609/814b9b1943bb/sensors-12-02935f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/401f/3376609/06da80861cc6/sensors-12-02935f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/401f/3376609/67df87685b94/sensors-12-02935f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/401f/3376609/e53c25cc66f0/sensors-12-02935f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/401f/3376609/56311a29ef8b/sensors-12-02935f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/401f/3376609/745cb71d78c0/sensors-12-02935f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/401f/3376609/4c679d86c335/sensors-12-02935f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/401f/3376609/cd201e46f2ea/sensors-12-02935f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/401f/3376609/69d1128a4d8c/sensors-12-02935f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/401f/3376609/67a442a6d67b/sensors-12-02935f12.jpg

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