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#

lane-lines

Here are 59 public repositories matching this topic...

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

  • UpdatedSep 17, 2020
  • Jupyter Notebook

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.

  • UpdatedDec 25, 2017
  • Jupyter Notebook

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

  • UpdatedJun 12, 2018
  • Python

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

  • UpdatedDec 18, 2017
  • Python

Practical application of image processing and recognition techniques with matlab.

  • UpdatedNov 5, 2019
  • MATLAB
Lane-detection-opencv-python

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

  • UpdatedApr 27, 2020
  • Jupyter Notebook

Project to Detect and Track Lane Lines From Camera Images

  • UpdatedJan 31, 2017
  • Python

Udacity CarND - Project 04 - Advanced Lane Lines

  • UpdatedFeb 6, 2017
  • Jupyter Notebook

Project 2 to find lane lines for self driving car

  • UpdatedMar 27, 2019
  • Jupyter Notebook

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

  • UpdatedJan 29, 2018
  • Python

Finding lane lines on the road

  • UpdatedMar 16, 2017
  • Jupyter Notebook

Lane detection using hough transform

  • UpdatedDec 6, 2019
  • Tcl

라즈베리파이를 이용해서 lane detection

  • UpdatedAug 21, 2019
  • Python

Computer vision techniques to detect lane lines

  • UpdatedJan 11, 2019
  • Python

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.

  • UpdatedSep 2, 2017
  • HTML

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