Shypd.aiThe largest open index of AI toolsLaneDetection_End2End is an open-source computer vision tool that provides end-to-end lane detection for self-driving cars. It implements a differentiable least-squares fitting approach to achieve higher accuracy.
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LaneDetection_End2End is an open-source implementation of an end-to-end lane detection method for self-driving cars, based on the ICCV 2019 Workshop paper "End-to-end Lane Detection through Differentiable Least-Squares Fitting." This repository offers two primary approaches: a conventional segmentation method and a more accurate end-to-end architecture. The end-to-end system uses an off-the-shelf network to predict weight maps, which are then applied to a mesh grid. A final layer solves a weighted system of equations to calculate curve parameters for road markings, allowing for direct regression to desired curve coordinates and backpropagation through the entire architecture. It supports multi-lane detection and has been updated for PyTorch 1.1 and Python 3.7. The software is released under a Creative Commons license for personal and research use.
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