lane-detection
There are 624 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.
amusi/awesome-lane-detection
A paper list of lane detection.
ndrplz/self-driving-car
Udacity Self-Driving Car Engineer Nanodegree projects.
MaybeShewill-CV/lanenet-lane-detection
Unofficial implemention of lanenet model for real time lane detection
hustvl/YOLOP
You Only Look Once for Panopitic Driving Perception.（MIR2022）
cfzd/Ultra-Fast-Lane-Detection
Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)
cardwing/Codes-for-Lane-Detection
Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)
voldemortX/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
cfzd/Ultra-Fast-Lane-Detection-v2
Ultra Fast Deep Lane Detection With Hybrid Anchor Driven Ordinal Classification (TPAMI 2022)
lucastabelini/LaneATT
Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)
wvangansbeke/LaneDetection_End2End
End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)
Turoad/lanedet
An open source lane detection toolbox based on PyTorch, including SCNN, RESA, UFLD, LaneATT, CondLane, etc.
georgesung/advanced_lane_detection
Advanced lane detection using computer vision
OpenDriveLab/OpenLane
[ECCV 2022 Oral] OpenLane: Large-scale Realistic 3D Lane Dataset
erdos-project/pylot
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
SeokjuLee/VPGNet
VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)
OpenDriveLab/PersFormer_3DLane
[ECCV 2022 Oral] Perspective Transformer on 3D Lane Detection
bamwani/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
lucastabelini/PolyLaneNet
Code for the paper entitled "PolyLaneNet: Lane Estimation via Deep Polynomial Regression" (ICPR 2020)
harryhan618/SCNN_Pytorch
Pytorch implementation of "Spatial As Deep: Spatial CNN for Traffic Scene Understanding"
jason-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 .
JunshengFu/driving-lane-departure-warning
Built a real-time lane departure warning system with a monocular camera, using OpenCV.
tomazas/opencv-lane-vehicle-track
OpenCV implementation of lane and vehicle tracking
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
AbangLZU/LaneNetRos
Ros node to use LaneNet to detect the lane in camera
tusen-ai/Anchor3DLane
Official PyTorch implementation for paper`Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection' accepted by CVPR 2023
antevis/CarND-Project5-Vehicle_Detection_and_Tracking
Vehicle Detection with Convolutional Neural Network
Chenzhaowei13/Light-Condition-Style-Transfer
Lane Detection in Low-light Conditions Using an Efficient Data Enhancement : Light Conditions Style Transfer (IV 2020)
dongkwonjin/Eigenlanes
Official code for "Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes", CVPR2022
canozcivelek/lane-detection-with-steer-and-departure
A project to demonstrate lane detection with a front facing camera.
FrenkT/LaneTracking
Lane detection and tracking
cardwing/Codes-for-IntRA-KD
Inter-Region Affinity Distillation for Road Marking Segmentation (CVPR 2020)
Lukas-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.
satinder147/DeepWay.v2
Autonomous navigation for blind people
POSTECH-IMLAB/LaneSegmentationNetwork
The deep semantic segmentation network for lane segmentation.