main data dataloader log model test_output .gitignore CHINESE_README.md LICENSE README.md eval.py test.py train.py tusimple_transform.py Breadcrumbs lanenet-lane-detection-pytorch / LICENSE IrohXu/lanenet-lane-detection-pytorch is licensed under the MIT License A short and simple permissive lice...
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Robust 3D lane detection is the key to advanced autonomous driving technologies. However, complex traffic scenes such as bad weather and variable terrain are the main factors affecting the robustness of lane detection algorithms. In this paper, a generalized two-stage network called Att-Gen-LaneNet...
Use pytorch to implement a Deep Neural Network for real time lane detection mainly based on the IEEE IV conference paper "Towards End-to-End Lane Detection: an Instance Segmentation Approach".You can refer to their paper for details https://arxiv.org/abs/1802.05591. This model consists of EN...
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main 1Branch0Tags Code README MIT license Lanenet-Lane-Detection (pytorch version) 中文版 Introduction Use pytorch to implement a Deep Neural Network for real time lane detection mainly based on the IEEE IV conference paper "Towards End-to-End Lane Detection: an Instance Segmentation Approach".Yo...
main_train_GenLaneNet_ext.py README (pytorch) Gen-LaneNet: a generalized and scalable approach for 3D lane detection Introduction This is a pytorch implementation of Gen-LaneNet, which predicts 3D lanes from a single image. Specifically, Gen-LaneNet is a unified network solution that solves image...
algorithm, described in [1] "Towards end-to-end lane detection: an instance segmentation approach" . The key idea of instance segmentation should be referred to [2] "Semantic instance segmentation with a discriminative loss function". This repository contains a re-implementation in Pytorch. ...