Geospatial Data Analytics Lab, The Ohio State University, Columbus, OH 43210, USA.
Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH 43210, USA.
Sensors (Basel). 2022 Jun 2;22(11):4262. doi: 10.3390/s22114262.
The evolution of mobile mapping systems (MMSs) has gained more attention in the past few decades. MMSs have been widely used to provide valuable assets in different applications. This has been facilitated by the wide availability of low-cost sensors, advances in computational resources, the maturity of mapping algorithms, and the need for accurate and on-demand geographic information system (GIS) data and digital maps. Many MMSs combine hybrid sensors to provide a more informative, robust, and stable solution by complementing each other. In this paper, we presented a comprehensive review of the modern MMSs by focusing on: (1) the types of sensors and platforms, discussing their capabilities and limitations and providing a comprehensive overview of recent MMS technologies available in the market; (2) highlighting the general workflow to process MMS data; (3) identifying different use cases of mobile mapping technology by reviewing some of the common applications; and (4) presenting a discussion on the benefits and challenges and sharing our views on potential research directions.
在过去几十年中，移动测绘系统 (MMS) 的发展受到了越来越多的关注。MMS 已被广泛应用于不同的应用领域，提供有价值的资产。这得益于低成本传感器的广泛可用性、计算资源的进步、制图算法的成熟以及对准确和按需地理信息系统 (GIS) 数据和数字地图的需求。许多 MMS 结合了混合传感器，通过互补来提供更具信息量、更稳健和更稳定的解决方案。在本文中，我们通过关注以下几个方面，对现代 MMS 进行了全面的回顾：（1）传感器和平台的类型，讨论它们的功能和局限性，并提供市场上现有最新 MMS 技术的全面概述；（2）突出 MMS 数据处理的一般工作流程；（3）通过审查一些常见的应用，确定移动测绘技术的不同用例；（4）介绍移动测绘技术的优势和挑战，并分享我们对潜在研究方向的看法。
