Traffic signs recognition using color threshold, edge detection, and hough transform based on Matlab
Traffic signs, as auxiliary facilities for traffic safety, play an important role in the entire traffic system. They transfer vital information like warning, instruction and others to both pedestrians and drivers. With the development of artificial intelligence, research in the field of in intellige...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2016
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/68358 |
| _version_ | 1826128635085455360 |
|---|---|
| author | Hu, Yifei |
| author2 | Yu Hao |
| author_facet | Yu Hao Hu, Yifei |
| author_sort | Hu, Yifei |
| collection | NTU |
| description | Traffic signs, as auxiliary facilities for traffic safety, play an important role in the entire traffic system. They transfer vital information like warning, instruction and others to both pedestrians and drivers. With the development of artificial intelligence, research in the field of in intelligent driver assistance systems and autonomous cars attracts more and more attentions. Therefore, as a fundamental technology of autonomous cars, traffic signs recognition becomes one of the hottest research.
In this report, a methodology of traffic signs recognition based on color threshold, edge detection, Hough transform and other algorithms is introduced. The platform used in this report is Matlab R2015b. |
| first_indexed | 2024-10-01T07:28:10Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/68358 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:28:10Z |
| publishDate | 2016 |
| record_format | dspace |
| spelling | ntu-10356/683582023-07-07T17:39:16Z Traffic signs recognition using color threshold, edge detection, and hough transform based on Matlab Hu, Yifei Yu Hao School of Electrical and Electronic Engineering DRNTU::Engineering Traffic signs, as auxiliary facilities for traffic safety, play an important role in the entire traffic system. They transfer vital information like warning, instruction and others to both pedestrians and drivers. With the development of artificial intelligence, research in the field of in intelligent driver assistance systems and autonomous cars attracts more and more attentions. Therefore, as a fundamental technology of autonomous cars, traffic signs recognition becomes one of the hottest research. In this report, a methodology of traffic signs recognition based on color threshold, edge detection, Hough transform and other algorithms is introduced. The platform used in this report is Matlab R2015b. Bachelor of Engineering 2016-05-25T07:30:26Z 2016-05-25T07:30:26Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/68358 en Nanyang Technological University 55 p. application/pdf |
| spellingShingle | DRNTU::Engineering Hu, Yifei Traffic signs recognition using color threshold, edge detection, and hough transform based on Matlab |
| title | Traffic signs recognition using color threshold, edge detection, and hough transform based on Matlab |
| title_full | Traffic signs recognition using color threshold, edge detection, and hough transform based on Matlab |
| title_fullStr | Traffic signs recognition using color threshold, edge detection, and hough transform based on Matlab |
| title_full_unstemmed | Traffic signs recognition using color threshold, edge detection, and hough transform based on Matlab |
| title_short | Traffic signs recognition using color threshold, edge detection, and hough transform based on Matlab |
| title_sort | traffic signs recognition using color threshold edge detection and hough transform based on matlab |
| topic | DRNTU::Engineering |
| url | http://hdl.handle.net/10356/68358 |
| work_keys_str_mv | AT huyifei trafficsignsrecognitionusingcolorthresholdedgedetectionandhoughtransformbasedonmatlab |