https://github.com/araj29011998/lane-marking-detection
Designed a deep learning-based lane marking detection system using CNNs & Hough Transform, addressing low visibility and faded lane challenges for autonomous driving.
Science Score: 13.0%
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (1.1%) to scientific vocabulary
Repository
Designed a deep learning-based lane marking detection system using CNNs & Hough Transform, addressing low visibility and faded lane challenges for autonomous driving.
Basic Info
- Host: GitHub
- Owner: araj29011998
- Language: Python
- Default Branch: main
- Size: 166 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Lane-Marking-Detection
Designed a deep learning-based lane marking detection system using CNNs & Hough Transform, addressing low visibility and faded lane challenges for autonomous driving.
Owner
- Name: Abhishek Raj Permani
- Login: araj29011998
- Kind: user
- Location: Dhanbad,Jharkhand
- Company: IIT Dhanbad
- Repositories: 2
- Profile: https://github.com/araj29011998
Machine Learning Engineer at Jaguar Land Rover. Worked as SDE at Samsung. Completed BTech in Computer Science from IIT Dhanbad
GitHub Events
Total
- Push event: 1
- Create event: 3
Last Year
- Push event: 1
- Create event: 3
Dependencies
- matplotlib *
- numpy *
- opencv-python *
- scikit-image *
- tensorflow ==2.9.1
- tensorflow-datasets *