lane-detection
There are 50 repositories under lane-detection topic.
PaddlePaddle / PaddleSeg
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.
Language:Python 8440ndrplz / self-driving-car
Udacity Self-Driving Car Engineer Nanodegree projects.
Language:C++ 2735MaybeShewill-CV / lanenet-lane-detection
Unofficial implemention of lanenet model for real time lane detection
Language:Python 2314- Language:Python 1870
cfzd / Ultra-Fast-Lane-Detection
Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)
Language:Python 1772cardwing / Codes-for-Lane-Detection
Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)
Language:Lua 1036voldemortX / pytorch-auto-drive
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
Language:Python 823wvangansbeke / LaneDetection_End2End
End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)
Language:Python 637lucastabelini / LaneATT
Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)
Language:Python 615Ultra Fast Deep Lane Detection With Hybrid Anchor Driven Ordinal Classification (TPAMI 2022)
Language:Python 563Turoad / lanedet
An open source lane detection toolbox based on PyTorch, including SCNN, RESA, UFLD, LaneATT, CondLane, etc.
Language:Python 550georgesung / advanced_lane_detection
Advanced lane detection using computer vision
Language:Python 522OpenDriveLab / OpenLane
[ECCV 2022 Oral] OpenLane: Large-scale Realistic 3D Lane Dataset
Language:C++ 487SeokjuLee / VPGNet
VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)
Language:Jupyter Notebook 482erdos-project / pylot
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
Language:Python 451[ECCV2022 Oral] Perspective Transformer on 3D Lane Detection
Language:Python 416Code for the paper entitled "PolyLaneNet: Lane Estimation via Deep Polynomial Regression" (ICPR 2020)
Language:Python 291bamwani / car-counting-and-speed-estimation-yolo-sort-python
This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed estimation
Language:Python 283harryhan618 / SCNN_Pytorch
Pytorch implementation of "Spatial As Deep: Spatial CNN for Traffic Scene Understanding"
Language:Python 242JunshengFu / driving-lane-departure-warning
Built a real-time lane departure warning system with a monocular camera, using OpenCV.
Language:Python 216- Language:Python 215
tomazas / opencv-lane-vehicle-track
OpenCV implementation of lane and vehicle tracking
Language:C++ 183- Language:Python 156
- copilot
visualbuffer / copilot
Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision
Language:Jupyter Notebook 154 antevis / CarND-Project5-Vehicle_Detection_and_Tracking
Vehicle Detection with Convolutional Neural Network
Language:Python 150jason-li-831202 / Vehicle-CV-ADAS
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 .
Language:Python 148tusen-ai / Anchor3DLane
Official PyTorch implementation for paper`Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection' accepted by CVPR 2023
Language:Python 135Chenzhaowei13 / Light-Condition-Style-Transfer
Lane Detection in Low-light Conditions Using an Efficient Data Enhancement : Light Conditions Style Transfer (IV 2020)
Language:Python 134dongkwonjin / Eigenlanes
Official code for "Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes", CVPR2022
Language:Python 127- Language:Python 118
Inter-Region Affinity Distillation for Road Marking Segmentation (CVPR 2020)
Language:Python 114canozcivelek / lane-detection-with-steer-and-departure
A project to demonstrate lane detection with a front facing camera.
Language:Python 106Lukas-Justen / Lane-Marking-Detection
This is the final project for the Geospatial Vision and Visualization class at Northwestern University. The goal of the project is detecting the lane marking for a small LIDAR point cloud. Therefore, we cannot use a Deep Learning algorithm that learns to identify the lane markings by looking at a vast amount of data. Instead we will need to build a system that is able to identify the marking just by looking at the intensity value within the point cloud.
Language:Jupyter Notebook 106- DeepWay.v2
satinder147 / DeepWay.v2
Autonomous navigation for blind people
Language:Python 100 POSTECH-IMLAB / LaneSegmentationNetwork
The deep semantic segmentation network for lane segmentation.
Language:Python 94
