Skip to content

The prototype as of now involves detecting of car lanes and vehicles which comes in path/view of our driver, and uses HaarsCascade algo. and Hough transformation mainly for the purpose.

Notifications You must be signed in to change notification settings

shivampaliya64/Self-Driving-Car-Prototype

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Self-Driving-Car-PrototypeScreenshot (292)

Here above the lanes can be seen highlighted in slight greenish color and cars are boxed in red frame, which shows the detection and eventually the process can be improved by using better edge detection and object detection algorithms though. At now the algorithms doesn't work good on curved paths.

Main algorithms used

1)Hough Line Transform(for lanes detection)

https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_imgproc/py_houghlines/py_houghlines.html

2)HaarCascade Algorithm(For Vehicle detection)

https://docs.opencv.org/3.4/db/d28/tutorial_cascade_classifier.html

About

The prototype as of now involves detecting of car lanes and vehicles which comes in path/view of our driver, and uses HaarsCascade algo. and Hough transformation mainly for the purpose.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages