wvangansbeke/LaneDetection_End2End
A deep learning system for detecting lane markings in images for self-driving car applications.
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Implements an end-to-end lane detection pipeline using differentiable least-squares fitting with PyTorch. The system uses off-the-shelf networks to predict weight maps, then applies a novel fitting approach to output lane coordinates directly. Includes experiments with backprojection loss for improved accuracy in the original perspective view.
Frequently asked
- What is wvangansbeke/LaneDetection_End2End?
- A deep learning system for detecting lane markings in images for self-driving car applications.
- Is LaneDetection_End2End open source?
- Yes — wvangansbeke/LaneDetection_End2End is an open-source project tracked on heatdrop.
- What language is LaneDetection_End2End written in?
- wvangansbeke/LaneDetection_End2End is primarily written in Python.
- How popular is LaneDetection_End2End?
- wvangansbeke/LaneDetection_End2End has 664 stars on GitHub.
- Where can I find LaneDetection_End2End?
- wvangansbeke/LaneDetection_End2End is on GitHub at https://github.com/wvangansbeke/LaneDetection_End2End.