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

Spatial CNN for traffic lane detection (AAAI2018)

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.

Pytorch implementation of our paper "CLRNet: Cross Layer Refinement Network for Lane Detection" (CVPR2022 Acceptance).

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

Advanced lane detection using computer vision

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

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

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

An open source advanced driver assistance system (ADAS) that uses Jetson Nano as the hardware. Features: Traffic sign detection, Forward collision warning, Lane departure warning.

Lane Detection with Deep Learning - My Capstone project for Udacity's ML Nanodegree

No description available

This project generates images you've probably seen in autonomous driving demo. Object Detection, Lane Detection, Road Segmentation, Depth Estimation using TensorRT

[ECCV 2020] Official PyTorch implementation of "Gen-LaneNet: a generalized and scalable approach for 3D lane detection"

Find lane lines on the road using Python and OpenCV, applying Canny edge detectors and Hough line transforms

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)

The project can achieve FCWS, LDWS, and LKAS functions solely using only visual sensors. using YOLOv5 / YOLOv5-lite / YOLOv6 / YOLOv7 / YOLOv8 / YOLOv9 / EfficientDet and Ultra-Fast-Lane-Detection-v2 .

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

A Keypoint-based Global Association Network for Lane Detection. Accepted by CVPR 2022