lane-segmentation 开源项目推荐（19 个）

bamwani /car-counting-and-speed-estimation-yolo-sort-python

本项目实现以下任务：1. 车辆计数，2. 车道检测，3. 变道检测，4. 速度估计。

POSTECH-IMLAB /LaneSegmentationNetwork

用于车道分割的深度语义分割网络。

ibaiGorordo /Ultrafast-Lane-Detection-Inference-Pytorch-

使用 Pytorch 中的 Ultra Fast Lane Detection 模型进行车道检测的示例脚本。

ibaiGorordo /onnx-Ultra-Fast-Lane-Detection-Inference

使用 ONNX 中的 Ultra Fast Lane Detection 模型进行车道检测的示例脚本。

plemeri /LaneSOD

由 InSPyReNet（ACCV 2022）提供支持的车道分割。

ibaiGorordo /TfLite-Ultra-Fast-Lane-Detection-Inference

Example scripts for the detection of lanes using the ultra fast lane detection model in Tensorflow Lite.

ikrets /rosdonkey

Drive a RC car on a track, detecting lanes using semantic segmentation. Uses Donkeycar, ROS, Raspberry Pi 4, Google Edge TPU.

Kazuhito00 /YOLOPv2-ONNX-Sample

YOLOPv2のPythonでのONNX推論サンプル

MehmetOKUYAR /lane_segmentation

A model on lane detection has been developed with the data set we have created.

Highsky7 /YOLOTL

YOLOTL: YOLO-based Top-view Lane Segmentation and Steering Control

makerviet /via-dataset-cds-2020

Dataset for training lane segmentation and traffic sign detection from Goodgame, the Champion of FPT Digital Race - Cuộc Đua Số 2020.

indulgeuuu-del /smart_farm_models

Reproducible model engineering for the 21st China National Undergraduate Smart Car Contest Smart Farm project: lane segmentation, PP-YOLOE+ object detection, and optional navigation control.

samarthm04 /Vehicle_Cut-In_Detection

Python script for vehicle detection and tracking using YOLOv8 with dynamic road extent visualization. The model adapts to various camera angles, accurately determining road height by detecting road, sky, and mid lines. Includes TTC calculations, cut-in warnings, and visual overlays.

Tamuel /LaneSegmentationNetwork

The deep semantic segmentation network for lane segmentation.

timurlenk07 /sim2real_lane_segment

Right lane segmentation in Duckietown environment

labcodesss /VisionDriveX-Explainable-Autonomous-Driving-Perception-System

VisionDriveX is a multi-task autonomous driving perception system that performs traffic sign classification, stop-sign detection, and lane segmentation. Built with PyTorch and explainable AI (Grad-CAM), it delivers real-time, interpretable road understanding for safety-critical ADAS applications.

elyarrudi /deeplabv3plus-lane-segmentation

Custom DeepLabV3+ lane segmentation with a ResNet50 backbone, ONNX export, and CUDA-accelerated Docker video inference.

A-matindoust /autonomous-driving-object-detection-tracking

YOLO11 based object detection and tracking for autonomous driving, with an option to combine detections with lane perception.

astridautonomous /PERCEPTION

Autonomous Vehicle Project Perception Stack