Intelligent traffic sign recognition system for autonomous vehicle navigation (ITSRS)
An autonomous vehicle generally provides certain level of recognition on obstacle detection, road detection and traffic sign recognition. There are existed system that can provide perfect assistance on the first two. However, traffic sign recognition is a field where people do not study much. Traffi...
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| Format: | Undergraduates Project Papers |
| Language: | English |
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2018
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| Online Access: | http://umpir.ump.edu.my/id/eprint/27176/ http://umpir.ump.edu.my/id/eprint/27176/ http://umpir.ump.edu.my/id/eprint/27176/1/Intelligent%20traffic%20sign%20recognition%20system%20for%20autonomous%20vehicle%20navigation.pdf |
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ump-27176 |
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eprints |
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ump-271762019-12-31T08:23:53Z http://umpir.ump.edu.my/id/eprint/27176/ Intelligent traffic sign recognition system for autonomous vehicle navigation (ITSRS) Law, Jia Swee QA76 Computer software An autonomous vehicle generally provides certain level of recognition on obstacle detection, road detection and traffic sign recognition. There are existed system that can provide perfect assistance on the first two. However, traffic sign recognition is a field where people do not study much. Traffic signs play a key role on delivering important messages to the road users. Traffic Sign is designed by using different colors and shapes to attract the attention of road user. Sometimes, it brings confusion too. The algorithm studied in this paper has separated into two parts. First part will be carried out by using Microsoft Azure Custom Vision to train the traffic sign classifier. Then consume the model file in mobile application by using Android Studio. 2018-12 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/27176/1/Intelligent%20traffic%20sign%20recognition%20system%20for%20autonomous%20vehicle%20navigation.pdf Law, Jia Swee (2018) Intelligent traffic sign recognition system for autonomous vehicle navigation (ITSRS). Faculty of Computer System & Software Engineering, Universiti Malaysia Pahang. http://fypro.ump.edu.my/ethesis/index.php |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Malaysia Pahang |
| building |
UMP Institutional Repository |
| collection |
Online Access |
| language |
English |
| topic |
QA76 Computer software |
| spellingShingle |
QA76 Computer software Law, Jia Swee Intelligent traffic sign recognition system for autonomous vehicle navigation (ITSRS) |
| description |
An autonomous vehicle generally provides certain level of recognition on obstacle detection, road detection and traffic sign recognition. There are existed system that can provide perfect assistance on the first two. However, traffic sign recognition is a field where people do not study much. Traffic signs play a key role on delivering important messages to the road users. Traffic Sign is designed by using different colors and shapes to attract the attention of road user. Sometimes, it brings confusion too. The algorithm studied in this paper has separated into two parts. First part will be carried out by using Microsoft Azure Custom Vision to train the traffic sign classifier. Then consume the model file in mobile application by using Android Studio. |
| format |
Undergraduates Project Papers |
| author |
Law, Jia Swee |
| author_facet |
Law, Jia Swee |
| author_sort |
Law, Jia Swee |
| title |
Intelligent traffic sign recognition system for autonomous vehicle navigation (ITSRS) |
| title_short |
Intelligent traffic sign recognition system for autonomous vehicle navigation (ITSRS) |
| title_full |
Intelligent traffic sign recognition system for autonomous vehicle navigation (ITSRS) |
| title_fullStr |
Intelligent traffic sign recognition system for autonomous vehicle navigation (ITSRS) |
| title_full_unstemmed |
Intelligent traffic sign recognition system for autonomous vehicle navigation (ITSRS) |
| title_sort |
intelligent traffic sign recognition system for autonomous vehicle navigation (itsrs) |
| publishDate |
2018 |
| url |
http://umpir.ump.edu.my/id/eprint/27176/ http://umpir.ump.edu.my/id/eprint/27176/ http://umpir.ump.edu.my/id/eprint/27176/1/Intelligent%20traffic%20sign%20recognition%20system%20for%20autonomous%20vehicle%20navigation.pdf |
| first_indexed |
2023-09-18T22:42:38Z |
| last_indexed |
2023-09-18T22:42:38Z |
| _version_ |
1777417016873844736 |