Building a low cost advanced driver assistance system – road lane detection
The road lane detector presented in this program is to detect the road lane lines and their boundaries by processing the image or video captured by a car camera. This is a pipeline software which using python with OpenCV to conduct the image processing. It eliminates the distortion, isolates the roa...
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sg-ntu-dr.10356-732142023-07-07T17:22:38Z Building a low cost advanced driver assistance system – road lane detection Huang, Junjia Tan Yap Peng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering The road lane detector presented in this program is to detect the road lane lines and their boundaries by processing the image or video captured by a car camera. This is a pipeline software which using python with OpenCV to conduct the image processing. It eliminates the distortion, isolates the road lane lines with a combined filter and inverse perspective mapping transform. The algorithm can detect the road lane lines in still image and video with good range of visibility and lighting condition. Bachelor of Engineering 2018-01-23T01:17:43Z 2018-01-23T01:17:43Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/73214 en Nanyang Technological University 43 p. application/pdf |
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Nanyang Technological University |
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NTU Library |
| continent |
Asia |
| country |
Singapore Singapore |
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DR-NTU |
| language |
English |
| topic |
DRNTU::Engineering::Electrical and electronic engineering |
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DRNTU::Engineering::Electrical and electronic engineering Huang, Junjia Building a low cost advanced driver assistance system – road lane detection |
| description |
The road lane detector presented in this program is to detect the road lane lines and their boundaries by processing the image or video captured by a car camera. This is a pipeline software which using python with OpenCV to conduct the image processing. It eliminates the distortion, isolates the road lane lines with a combined filter and inverse perspective mapping transform. The algorithm can detect the road lane lines in still image and video with good range of visibility and lighting condition. |
| author2 |
Tan Yap Peng |
| author_facet |
Tan Yap Peng Huang, Junjia |
| format |
Final Year Project |
| author |
Huang, Junjia |
| author_sort |
Huang, Junjia |
| title |
Building a low cost advanced driver assistance system – road lane detection |
| title_short |
Building a low cost advanced driver assistance system – road lane detection |
| title_full |
Building a low cost advanced driver assistance system – road lane detection |
| title_fullStr |
Building a low cost advanced driver assistance system – road lane detection |
| title_full_unstemmed |
Building a low cost advanced driver assistance system – road lane detection |
| title_sort |
building a low cost advanced driver assistance system – road lane detection |
| publishDate |
2018 |
| url |
http://hdl.handle.net/10356/73214 |
| _version_ |
1772828358997966848 |