lane-detection
There are 49 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 8241ndrplz / self-driving-car
Udacity Self-Driving Car Engineer Nanodegree projects.
Language:C++ 2695MaybeShewill-CV / lanenet-lane-detection
Unofficial implemention of lanenet model for real time lane detection
Language:Python 2259- Language:Python 1816
cfzd / Ultra-Fast-Lane-Detection
Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)
Language:Python 1716cardwing / Codes-for-Lane-Detection
Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)
Language:Lua 1022voldemortX / 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 784wvangansbeke / LaneDetection_End2End
End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)
Language:Python 633lucastabelini / LaneATT
Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)
Language:Python 603Turoad / lanedet
An open source lane detection toolbox based on PyTorch, including SCNN, RESA, UFLD, LaneATT, CondLane, etc.
Language:Python 527Ultra Fast Deep Lane Detection With Hybrid Anchor Driven Ordinal Classification (TPAMI 2022)
Language:Python 518georgesung / advanced_lane_detection
Advanced lane detection using computer vision
Language:Python 518SeokjuLee / VPGNet
VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)
Language:Jupyter Notebook 480OpenDriveLab / OpenLane
[ECCV 2022 Oral] OpenLane: Large-scale Realistic 3D Lane Dataset
Language:C++ 469erdos-project / pylot
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
Language:Python 428[ECCV2022 Oral] Perspective Transformer on 3D Lane Detection
Language:Python 391Code for the paper entitled "PolyLaneNet: Lane Estimation via Deep Polynomial Regression" (ICPR 2020)
Language:Python 282bamwani / 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 268harryhan618 / SCNN_Pytorch
Pytorch implementation of "Spatial As Deep: Spatial CNN for Traffic Scene Understanding"
Language:Python 236- Language:Python 209
JunshengFu / driving-lane-departure-warning
Built a real-time lane departure warning system with a monocular camera, using OpenCV.
Language:Python 207tomazas / opencv-lane-vehicle-track
OpenCV implementation of lane and vehicle tracking
Language:C++ 185- Language:Python 150
antevis / CarND-Project5-Vehicle_Detection_and_Tracking
Vehicle Detection with Convolutional Neural Network
Language:Python 150- 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 147 Chenzhaowei13 / Light-Condition-Style-Transfer
Lane Detection in Low-light Conditions Using an Efficient Data Enhancement : Light Conditions Style Transfer (IV 2020)
Language:Python 134jason-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 129dongkwonjin / Eigenlanes
Official code for "Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes", CVPR2022
Language:Python 124tusen-ai / Anchor3DLane
Official PyTorch implementation for paper`Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection' accepted by CVPR 2023
Language:Python 124- Language:Python 114
Inter-Region Affinity Distillation for Road Marking Segmentation (CVPR 2020)
Language:Python 112Lukas-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 102canozcivelek / lane-detection-with-steer-and-departure
A project to demonstrate lane detection with a front facing camera.
Language:Python 98POSTECH-IMLAB / LaneSegmentationNetwork
The deep semantic segmentation network for lane segmentation.
Language:Python 93- DeepWay.v2
satinder147 / DeepWay.v2
Autonomous navigation for blind people
Language:Python 93
