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.