2003
DOI: 10.1016/s1474-6670(17)33393-1
|View full text |Cite
|
Sign up to set email alerts
|

Vision-Based Mobile Robot Localization with Simple Artificial Landmarks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
8
0
1

Year Published

2009
2009
2013
2013

Publication Types

Select...
3
1
1

Relationship

1
4

Authors

Journals

citations
Cited by 7 publications
(9 citation statements)
references
References 2 publications
0
8
0
1
Order By: Relevance
“…Approaches for mapping have been accomplished considering the extraction of natural features from the environment (see [12]) and through the identification of special artificial landmarks (see, e.g., [16] and [1]). …”
Section: Mapping -"Where Am I Going?"mentioning
confidence: 99%
See 1 more Smart Citation
“…Approaches for mapping have been accomplished considering the extraction of natural features from the environment (see [12]) and through the identification of special artificial landmarks (see, e.g., [16] and [1]). …”
Section: Mapping -"Where Am I Going?"mentioning
confidence: 99%
“…These rules detect the presence of a landmark in an image thus providing the corresponding landmark classification based on its color. E.g., for a green landmark, we used the rules presented in (1). R, G and B correspond to the red, green and blue color components of the RGB color space.…”
Section: Visual Landmark Recognitionmentioning
confidence: 99%
“…Landmark recognition leads to determination of the image-coordinates of its reference points (see [2] for the image processing details). Then, the vector P = [x 1 y 1 x 2 y 2 ] T of coordinates of the centres of left and right frame edges are calculated.…”
Section: On-board Vision With Artificial Landmarksmentioning
confidence: 99%
“…Thus, the uncertainty of X R is described by the covariance matrix C R , which is a result of uncertainty propagation from the C L matrix. Because the relation (3) is nonlinear, the matrix C R is computed from a first order approximation [2]. Fig.…”
Section: On-board Vision With Artificial Landmarksmentioning
confidence: 99%
See 1 more Smart Citation