https://github.com/gsurma/street_lanes_finder
Street lanes finder for self-driving cars๐.
https://github.com/gsurma/street_lanes_finder
computer-graphics computer-vision jupyter-notebook metalkit python python3 self-driving-car self-driving-cars shader shaders vision
Last synced: 2 months ago
JSON representation
Street lanes finder for self-driving cars๐.
- Host: GitHub
- URL: https://github.com/gsurma/street_lanes_finder
- Owner: gsurma
- License: mit
- Created: 2019-07-21T09:23:34.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2021-07-09T08:51:56.000Z (over 4 years ago)
- Last Synced: 2025-05-12T19:41:30.443Z (6 months ago)
- Topics: computer-graphics, computer-vision, jupyter-notebook, metalkit, python, python3, self-driving-car, self-driving-cars, shader, shaders, vision
- Language: Jupyter Notebook
- Homepage: https://gsurma.github.io
- Size: 21 MB
- Stars: 35
- Watchers: 4
- Forks: 7
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
README
# Street Lanes Finder
Computer Vision approach to the street lanes detection problem.

Check out corresponding Medium article: [Street Lanes Finder - Detecting Street Lanes for Self-Driving Cars ๐](https://towardsdatascience.com/street-lanes-finder-detecting-street-lanes-for-self-driving-cars-fe069ec5a22d)
## How does it work?
1. Grayscale

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2. Blur

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3. Canny

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4. Region Of Interest

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4. Hough Lines

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5. Combined Images

## Author
**Greg (Grzegorz) Surma**
[**PORTFOLIO**](https://gsurma.github.io)
[**GITHUB**](https://github.com/gsurma)
[**BLOG**](https://medium.com/@gsurma)