Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-5/W12, 163-168, 2011
https://doi.org/10.5194/isprsarchives-XXXVIII-5-W12-163-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
03 Sep 2012
LAND-BASED MOBILE LASER SCANNING SYSTEMS: A REVIEW
I. Puente, H. González-Jorge, P. Arias, and J. Armesto Close Range Remote Sensing and Photogrammetry Group, School of Mining Engineering. Campus Lagoas-Marcosende, 36310, Vigo, Spain
Keywords: Land-based Mobile Laser Scanning, LiDAR, GNSS/INS, Multi-sensor system, Road inspection, Urban Mapping Abstract. Mobile mapping has been using various photogrammetric techniques for many years. In recent years, there has been an increase in the number of mobile mapping systems using laser scanners available in the market, partially because of the improvement in GNSS/INS performance for direct georeferencing. In this article, some of the most important land-based mobile laser scanning (MLS) systems are reviewed. Firstly, the main characteristics of MLS systems vs. airborne (ALS) and terrestrial laser scanning (TLS) systems are compared. Secondly, a short overview of the mobile mapping technology is also provided so that the reader can fully grasp the complexity and operation of these devices. As we put forward in this paper, a comparison of different systems is briefly carried out regarding specifications provided by the manufacturers. Focuses on the current research are also addressed with emphasis on the practical applications of these systems. Most of them have been utilized for data collection on road infrastructures or building façades. This article shows that MLS technology is nowadays well established and proven, since the demand has grown to the point that there are several systems suppliers offering their products to satisfy this particular market.
Conference paper (PDF, 690 KB)


Citation: Puente, I., González-Jorge, H., Arias, P., and Armesto, J.: LAND-BASED MOBILE LASER SCANNING SYSTEMS: A REVIEW, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-5/W12, 163-168, https://doi.org/10.5194/isprsarchives-XXXVIII-5-W12-163-2011, 2011.

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