2009 2nd International Symposium on Applied Sciences in Biomedical and Communication Technologies 2009
DOI: 10.1109/isabel.2009.5373630
|View full text |Cite
|
Sign up to set email alerts
|

A mobile visual navigation device: New algorithms for crosswalk and pictogram recognition

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2010
2010
2017
2017

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 6 publications
0
1
0
Order By: Relevance
“…As discussed in earlier subsections, the placement of markers/sensors in the infrastructure is costly and requires a lot of maintenance. Given this fact, many assistive systems nowadays try to give the user information about the presence and orientation of natural objects in the scene, such as crosswalks [79][80][81]or text commonly found in places like Buses or office doors [82,83,48]. Even the distinction between similar objects used in everyday life that may be easily confused by blind users, like different bank notes [84], food or medicine containers [85], can be incorporated in spatial orientation systems which use advanced computer vision techniques to provide spatial awareness through the recognition of natural objects.…”
Section: Spatial Orientationmentioning
confidence: 99%
“…As discussed in earlier subsections, the placement of markers/sensors in the infrastructure is costly and requires a lot of maintenance. Given this fact, many assistive systems nowadays try to give the user information about the presence and orientation of natural objects in the scene, such as crosswalks [79][80][81]or text commonly found in places like Buses or office doors [82,83,48]. Even the distinction between similar objects used in everyday life that may be easily confused by blind users, like different bank notes [84], food or medicine containers [85], can be incorporated in spatial orientation systems which use advanced computer vision techniques to provide spatial awareness through the recognition of natural objects.…”
Section: Spatial Orientationmentioning
confidence: 99%