2018
DOI: 10.1007/s12518-018-0221-7
|View full text |Cite
|
Sign up to set email alerts
|

Point clouds by SLAM-based mobile mapping systems: accuracy and geometric content validation in multisensor survey and stand-alone acquisition

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

1
65
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
5
2

Relationship

1
6

Authors

Journals

citations
Cited by 80 publications
(66 citation statements)
references
References 25 publications
1
65
0
Order By: Relevance
“…As is commonly reported in several pieces of research, SLAM-based devices are almost the best solution for enclosed ambient rich in-features, because the SLAM algorithm also exploits the geometry to estimate 3D reconstruction of surveyed places. The optimal trajectories [2,19,41] require closed loops and roundtrips, rather than one-way mode (Figure 8a,b and Figure 9a) during the operator's rooms mapping.…”
Section: Experimenting With 3d Mobile Mappingmentioning
confidence: 99%
See 2 more Smart Citations
“…As is commonly reported in several pieces of research, SLAM-based devices are almost the best solution for enclosed ambient rich in-features, because the SLAM algorithm also exploits the geometry to estimate 3D reconstruction of surveyed places. The optimal trajectories [2,19,41] require closed loops and roundtrips, rather than one-way mode (Figure 8a,b and Figure 9a) during the operator's rooms mapping.…”
Section: Experimenting With 3d Mobile Mappingmentioning
confidence: 99%
“…Furthermore, the relative positions between multiple scans of the same survey set are also not assured to be aligned, due to the possible change of position of the rotating head at the initialization moment. Therefore, to manage all the scans in the same relative reference system, the simple single roto-translation and mutual ICP fitting applied on each ZEB scan can be now effectively avoided by the application of the "Merge" algorithm function ( Figure 10), as implemented in the last desktop release of GeoSLAM Hub software for the scans processing [19]. reference system, the simple single roto-translation and mutual ICP fitting applied on each ZEB scan can be now effectively avoided by the application of the "Merge" algorithm function ( Figure 10), as implemented in the last desktop release of GeoSLAM Hub software for the scans processing [19].…”
Section: Experimenting With 3d Mobile Mappingmentioning
confidence: 99%
See 1 more Smart Citation
“…As a volume is driven by two contours (at top and bottom) and penetration by a series of vaulted passages is a shared characteristic, a model can be rapidly adapted to another measurement. This is an efficient survey workflow considering cm-level (accuracy and resolution) 3D measurements conducted to such a structure requires less than 30 min using a hand-held mobile mapping system [4]. In addition, parametric modification from one BIM model to another requires less than 15 min by a skilled operator.…”
Section: Potential Applications Of the Three Lodsmentioning
confidence: 99%
“…A combination of these methods can be used to achieve high-resolution (HR) documentation with high geometrical accuracy (mm level) and chromatic fidelity (24-bit color space). However, certain surveyed spaces are too narrow to use TLS and photogrammetry; hence, technologies such as mobile scanning [4] and spherical cameras [5] are being developed. Even though the accuracies of these methods are lower than those of previous methods, they ensure rapid in situ measurements and robust scene transition in narrow spaces, as the devices can be operated while walking.…”
Section: Introductionmentioning
confidence: 99%