cardwing/Codes-for-Lane-Detection
Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)
This project offers robust and efficient systems for detecting lane lines in real-time traffic camera footage. It takes video frames or images as input and outputs precise lane markings, even in challenging conditions like night driving or bad weather. Autonomous vehicle developers and researchers can use this to integrate advanced lane detection capabilities into their systems.
1,066 stars. No commits in the last 6 months.
Use this if you need a fast, lightweight, and highly accurate lane detection model for autonomous driving applications.
Not ideal if you are looking for a general-purpose object detection system beyond lane lines or if you prefer a different deep learning framework than TensorFlow or PyTorch.
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Language
Lua
License
MIT
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Last pushed
Jun 21, 2022
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