Adaptive Traffic Light Detection using Color Spaces Article Swipe
Aradhana Verma
,
Chandra Shekhar Yadav
,
Pradeep Kumar
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.5120/ijca2017915291
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.5120/ijca2017915291
This paper presents a color space based algorithm for traffic signal light detection for the modules used in Advanced Driver Assistance Systems (ADAS).The autonomous vehicle has been a topic for the discussions among the computer science engineers for several years.Traffic Signal Light Detection algorithm is based on color space theory which efficiently detects the color of traffic light during day time as well as night time i.e. weather invariant..
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Metadata
- Type
- article
- Language
- en
- Landing Page
- http://doi.org/10.5120/ijca2017915291
- https://doi.org/10.5120/ijca2017915291
- OA Status
- bronze
- References
- 13
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2754821745
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2754821745Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5120/ijca2017915291Digital Object Identifier
- Title
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Adaptive Traffic Light Detection using Color SpacesWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2017Year of publication
- Publication date
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2017-09-15Full publication date if available
- Authors
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Aradhana Verma, Chandra Shekhar Yadav, Pradeep KumarList of authors in order
- Landing page
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https://doi.org/10.5120/ijca2017915291Publisher landing page
- PDF URL
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https://doi.org/10.5120/ijca2017915291Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
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https://doi.org/10.5120/ijca2017915291Direct OA link when available
- Concepts
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Computer science, Traffic signal, Artificial intelligence, Computer vision, Computer graphics (images), Real-time computingTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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13Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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