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.
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
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
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"
Add a description, image, and links to the lane-detection topic page so that developers can more easily learn about it.
To associate your repository with the lane-detection topic, visit your repo's landing page and select "manage topics."