Line detection and tracking algorithm for autonomous robot.

asked 2016-06-02 23:43:27 -0500

YaddyVirus gravatar image

updated 2016-06-02 23:55:15 -0500

Hi there!

I am wokring on an autonomous robot which has to run in a lane 2m wide with a yellow line marking the outer boundary and white line marking the inner boundary. What I have thought of is, that I threshold the image to obtain a binary image containing the lines. Then divide that binary image into 2 parts vertically and then find out the non zero pixels in each part, the part with less pixels indicate that that the lane is turning, and hence the robot turns to the side of less pixels.

I'm trying to do something like this-

image description

Problem is with all my opencv+python knowledge I am stuck at the stage where I threshold the image. I don't know how to proceed after that. I tried searching the documentary but I didn't find anything.

So how can I achieve this?

Thanks.

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Comments

it probably helps, if you show your code (and maybe an example image)

berak gravatar imageberak ( 2016-06-02 23:51:30 -0500 )edit
1

@berak I was in the process of doing that :P My code is just the regular one used for thresholding, create trackbars, convert image to HSV and then threshold.

YaddyVirus gravatar imageYaddyVirus ( 2016-06-02 23:54:16 -0500 )edit

I can't tell what it is that you need help with. You say you don't know how to proceed, but you describe a perfectly fine way of doing it. Does it not work? Why not? Show us the code that isn't working.

Tetragramm gravatar imageTetragramm ( 2016-06-04 13:50:17 -0500 )edit

@Tetragramm Actually, I don't know how do I split my binary image into 2 parts so that I can use np.count_nonzero to compare non zero pixels in each part

YaddyVirus gravatar imageYaddyVirus ( 2016-06-06 14:52:22 -0500 )edit

You need to familiarize yourself with the basic functions of the library. I would start HERE, since that page contains what you need.

Tetragramm gravatar imageTetragramm ( 2016-06-06 17:35:19 -0500 )edit

@Tetragramm, I've been through the documentary for whole nights, and it helped me a lot, but it fails to answer several specific questions...

YaddyVirus gravatar imageYaddyVirus ( 2016-06-06 18:29:19 -0500 )edit
1

Well let's see, you want a range of columns from 0 to the number of columns/2 and the number of columns/2 to the number of columns.

The links go to the colRange method and the cols member variable. They're supposed to be direct links, but I'm told they don't always work. If this isn't enough, I don't think we can help you.

Tetragramm gravatar imageTetragramm ( 2016-06-06 20:13:30 -0500 )edit

@Tetragramm I actually came up with another method to solve the problem. I used np.count_nonzero, and restricted the ROI to one half of the image, and thanks to @berak , it worked!
Now I have another question at hand, I have to track two lines, one white and one yellow, is it possible to extract both lines in one threshold?

YaddyVirus gravatar imageYaddyVirus ( 2016-06-07 02:26:32 -0500 )edit

Possibly, but it's a lot more reliable, and probably not much slower, to use two.

Tetragramm gravatar imageTetragramm ( 2016-06-07 07:47:02 -0500 )edit