Road_Lane_Detection

Road_Lane_Detection

tooth2

A pipeline to identify the lane boundaries in a video from a front-facing camera on a car by exploring calibrating cameras and color space transform to manipulate images. Applied more advanced Canny edge (Sobel filters) and other openCV technique helps to find white/yellow lanes.

1 Stars
0 Forks
1 Watchers
Jupyter Notebook Language
Cost to Build
$1.01M
Market Value
$251.8K

Growth over time

3 data points  ·  2021-08-07 → 2022-02-19
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What is the tooth2/Road_Lane_Detection GitHub project? Description: "A pipeline to identify the lane boundaries in a video from a front-facing camera on a car by exploring calibrating cameras and color space transform to manipulate images. Applied more advanced Canny edge (Sobel filters) and other openCV technique helps to find white/yellow lanes. ". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone Road_Lane_Detection

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git clone https://github.com/tooth2/Road_Lane_Detection.git

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[email protected]:tooth2/Road_Lane_Detection.git

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