lane-lines-detection topic
yolopv2-opencv-onnxrun-cpp-py
分别使用OpenCV、ONNXRuntime部署YOLOPV2目标检测+可驾驶区域分割+车道线分割，一共包含54个onnx模型，依然是包含C++和Python两个版本的程序。仅仅只依赖OpenCV就能运行，彻底摆脱对任何深度学习框架的依赖。
Perception-for-Self-driving
Perception algorithms for Self-driving car; Lane Line Finding, Vehicle Detection, Traffic Sign Classification algorithm.
Self-Driving-Cars
Simulating a Self-Driving Car with basics of Deep Learning and Computer Vision
Lane-Line-Detection
Using OpenCV to detect Lane Lines on a road, one of the most fundamental concepts for building a Self-Driving car.
Advanced-Lane-Finding-Using-OpenCV
In this project, I used OpenCV to write a software pipeline to identify the lane boundaries in a video from a front-facing camera on a car.
Lane-lines-detection-using-Python-and-OpenCV
In this project, I used Python and OpenCV to detect lane lines on the road. I developed a processing pipeline that works on a series of individual images, and applied the result to a video stream.
onnx-Ultra-Fast-Lane-Detection-Inference
Example scripts for the detection of lanes using the ultra fast lane detection model in ONNX.
Ultrafast-Lane-Detection-Inference-Pytorch-
Example scripts for the detection of lanes using the ultra fast lane detection model in Pytorch.
lane_tracker
A Python program for lane line detection and tracking using a traditional computer vision approach
LightRoadMap
light roadmap