lane-lines

Advanced lane detection using computer vision

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

Lane detection and classification in an end-to-end Deep Learning fashion

Use segmentation networks to recognize lane lines and vehicles. Infer position and curvature of lane lines relative to self.

TuSimple lane detection dataset addon with class information.

A Python program for lane line detection and tracking using a traditional computer vision approach

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.

Udacity CarND - Project 04 - Advanced Lane Lines

Project to Detect and Track Lane Lines From Camera Images

Project 2 to find lane lines for self driving car

Self-driving Car Project: Advanced Lane Lines Detection and Tracking

Practical application of image processing and recognition techniques with matlab.

Lane detection using hough transform

Finding lane lines on the road

Image processing pipeline to detect road lane lines using Python and OpenCV

라즈베리파이를 이용해서 lane detection

Neural network to predict and draw traffic lanes.

Turn-in assignment for Udacity project detecting and tracking vehicles

Computer vision techniques to detect lane lines

Computer Vision. Detected highway lane lines on a video stream. Used OpenCV image analysis techniques to identify lines, including Hough Transforms and Canny edge detection.