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

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

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

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

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

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

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

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