Volume XLII-1/W1
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1/W1, 121-128, 2017
https://doi.org/10.5194/isprs-archives-XLII-1-W1-121-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1/W1, 121-128, 2017
https://doi.org/10.5194/isprs-archives-XLII-1-W1-121-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

  31 May 2017

31 May 2017

A REGISTRATION METHOD OF POINT CLOUDS COLLECTED BY MOBILE LIDAR USING SOLELY STANDARD LAS FILES INFORMATION

L. Gézero1,2 and C. Antunes3 L. Gézero and C. Antunes
  • 1Faculdade de Ciências, Universidade de Lisboa, Campo Grande 1749-016 Lisbon Portugal
  • 2LandCOBA, Consultores de Sistemas de Informação e Cartografia Digital Lda
  • 3Instituto Dom Luiz, Faculdade de Ciências, Universidade de Lisboa, Campo Grande 1749-016 Lisbon, Portugal

Keywords: Mobile systems, point cloud, LiDAR, registration, LAS, trajectory adjustment

Abstract. In the last few years, LiDAR sensors installed in terrestrial vehicles have been revealed as an efficient method to collect very dense 3D georeferenced information. The possibility of creating very dense point clouds representing the surface surrounding the sensor, at a given moment, in a very fast, detailed and easy way, shows the potential of this technology to be used for cartography and digital terrain models production in large scale. However, there are still some limitations associated with the use of this technology. When several acquisitions of the same area with the same device, are made, differences between the clouds can be observed. The range of that differences can go from few centimetres to some several tens of centimetres, mainly in urban and high vegetation areas where the occultation of the GNSS system introduces a degradation of the georeferenced trajectory. Along this article a different method point cloud registration is proposed. In addition to the efficiency and speed of execution, the main advantages of the method are related to the fact that the adjustment is continuously made over the trajectory, based on the GPS time. The process is fully automatic and only information recorded in the standard LAS files is used, without the need for any auxiliary information, in particular regarding the trajectory.