Advanced lane detection using computer vision
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Updated
Dec 12, 2020 - Python
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
Use segmentation networks to recognize lane lines and vehicles. Infer position and curvature of lane lines relative to self.
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.
Lane detection and classification in an end-to-end Deep Learning fashion
Lane detection using hough transform
A Python program for lane line detection and tracking using a traditional computer vision approach
TuSimple lane detection dataset addon with class information.
Image processing pipeline to detect road lane lines using Python and OpenCV
라즈베리파이를 이용해서 lane detection
Udacity CarND - Project 04 - Advanced Lane Lines
Finding lane lines on the road
The first project of Udacity CarND degree:finding lane lines.
Finding Lane Lines on the Road (project 1 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
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.
Turn-in assignment for Udacity project detecting and tracking vehicles
Project 2 to find lane lines for self driving car
Self-driving Car Project: Advanced Lane Lines Detection and Tracking
完成自动驾驶毕设阅读的相关论文
EEC193 Senior Design on Lane Line detection
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