Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

A paper list of lane detection.

Udacity Self-Driving Car Engineer Nanodegree projects.

Unofficial implemention of lanenet model for real time lane detection

You Only Look Once for Panopitic Driving Perception.（MIR2022）

Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)

PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help

Ultra Fast Deep Lane Detection With Hybrid Anchor Driven Ordinal Classification (TPAMI 2022)

Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)

End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)

An open source lane detection toolbox based on PyTorch, including SCNN, RESA, UFLD, LaneATT, CondLane, etc.

Advanced lane detection using computer vision

[ECCV 2022 Oral] OpenLane: Large-scale Realistic 3D Lane Dataset

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.

[ECCV 2022 Oral] Perspective Transformer on 3D Lane Detection

This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed estimation

Code for the paper entitled "PolyLaneNet: Lane Estimation via Deep Polynomial Regression" (ICPR 2020)

Pytorch implementation of "Spatial As Deep: Spatial CNN for Traffic Scene Understanding"