Fifth International Symposium on Instrumentation Science and Technology 2008
DOI: 10.1117/12.807912
|View full text |Cite
|
Sign up to set email alerts
|

Identification of inner parameters in laser radar measuring system through system error analysis

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2012
2012
2016
2016

Publication Types

Select...
2

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 0 publications
0
2
0
Order By: Relevance
“…In addition, investigations on the 2D laser scanners were also carried out. A detailed discussion about the deterministic error and random error of a 2D laser radar measurement system (LRMS) was published in [ 12 ]. The qualitative relationships between the error and the error sources, such as the scanning incidence angle and surface roughness, were determined.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…In addition, investigations on the 2D laser scanners were also carried out. A detailed discussion about the deterministic error and random error of a 2D laser radar measurement system (LRMS) was published in [ 12 ]. The qualitative relationships between the error and the error sources, such as the scanning incidence angle and surface roughness, were determined.…”
Section: Introductionmentioning
confidence: 99%
“…They verified that the factors mainly originate from the measurement system itself, the reflectance of the measured surface, and the characteristics of the scanning environment such as temperature and air pressure. All of the above studies [ 12 , 13 , 14 ] provide insights into the factors influencing the accuracy of the data; however, their work can only justify the range performance of the sensor, and they neglected to further investigate the accuracy or uncertainty in real measurement applications. Park et al [ 15 ] proposed a mathematical model of uncertainties in the spatial measurements of visual features using Kinect™ sensors, presenting a quantitative analysis for the utilization of Kinect™ sensors as 3D perception sensors.…”
Section: Introductionmentioning
confidence: 99%