Hello! This project is very interesting! Considering the number of requesters of the code, it would be good and charitable to create an explanatory video with the code and diagram ...
i think it is because that was a video, and in control system the previous command and the result of the execution affect the next command, system asked to turn right previously but in the video the vehicle doesn't turn right, so the system tried to turn right further
Oh wow, amazing. Just some questions, does your algorithm detect the distance between the 2 lines automatically or have you kept a preconfigured distance beforehand. How are you calculating the value for the steering advise. Is it in just one pixel array? or a certain ROI. Im confused as to how this works. Please advise me.
Looks to me as if he has one neural network that detects the street and a second that detects the white color on the street. then he takes the value of where the color appears on the image and can adjust the steering wheels movement
@@DjThrill3r it does not look like a neural network at all!?. Like the steering, he only looks where the white lines interconnects with his line (which is probably using a simple edge detection in opencv) , and then it does "steering" for which side has the higher value. No steering damping at all etc.
@@python9657 my guess is he is using edge detection in opencv. that will give you good framerates. and it probably only look at half of the screen. So if its another street the result would be very different i guess. but its clearly only using arduino to steer a motor. not for the edge detection.
hi, I respect your work but I wanna ask you about something. How to control steering motors with image processing. How did you get over this problem? what is the between of the steering motors and which did image processing computer
It is a great project but there is something I wanted to know, when ever there is a prompt of turn right the steering is making more than 1 revolution when ever there is a prompt, and when a left comes, the steering took only 3/4th of the revolution. Doesnt it effect the position of the wheel. Can you explain that to me please. Thank you
nice work out,, recently i also came across such work.. It would be great if you share atleast the work flow of the code and pseudo code for it. Especially mechanical steering and lane deviation..
So the software will identify the lines and give a mid point of the 2 line markings. And then based on any obstacles, it will again assist to switch lanes. Could you advice on how you did that?
Well i'm not sure you would reply this comment. It seems that you used Contours not Hough Line. If that's right, i am just curious why you used contours based line detection rather than Hough line? Is there some reasons that you choose to that?
hello @Kittipong G! Its really a great job! Are you still working in the code? I am interested in the code, could be possible to share it with me? Thanks in advance
Hi Can u help me out in this.cos am doing a similar project using matlab image processing. Pls contact me so we can discuss and possible share ideas and codes. smoveh@yahoo.com
нет прогресса нейросети. три года назад прогресс был, а сейчас все на одном месте)) и что? почему обнаруживается автомобиль и мерцает? почему не держит цель без мерцаний? это плохо
Great project! I'm not gonna ask for the code because I would like to develop my own. But I would thank you if you tell me what algorithms to use. That way I could really understand it. Thanks a lot! :)
I didnt find the original GitHub repository but I've found another one that can be helpful: github.com/canozcivelek/lane-detection-with-steer-and-departure
I Turbostudyed and the mask does not follow. I do a daily and I wave-scratch !!! I cut silence and beat pitched !!!! I gave a name and won my money on the company and lost eBay watch list , no matter !!! Yeah that’s the run !
Could you share the code. I would like to try some projects with this. This is amazing.
Hello! This project is very interesting! Considering the number of requesters of the code, it would be good and charitable to create an explanatory video with the code and diagram ...
Please !!
I wish ı knew
When it kept saying turn right but the car went left. I felt that.
I. Love. This. It. Would. Be. Even. Better. If. You. Came. Out. With. A. Tutorial. On. How. You. Created. This
pretty cool. but the steering is way off...
looks like s/he mapped to angular velocity instead of angle, right?.
i think it is because that was a video, and in control system the previous command and the result of the execution affect the next command, system asked to turn right previously but in the video the vehicle doesn't turn right, so the system tried to turn right further
that is because he didn't use the feedback system to correct the steering wheel position
Oh wow, amazing.
Just some questions, does your algorithm detect the distance between the 2 lines automatically or have you kept a preconfigured distance beforehand.
How are you calculating the value for the steering advise. Is it in just one pixel array? or a certain ROI. Im confused as to how this works.
Please advise me.
Looks to me as if he has one neural network that detects the street and a second that detects the white color on the street. then he takes the value of where the color appears on the image and can adjust the steering wheels movement
@@DjThrill3r how could that work on arduino, even raspberry pi gets 5 fps on object detection
@@DjThrill3r it does not look like a neural network at all!?. Like the steering, he only looks where the white lines interconnects with his line (which is probably using a simple edge detection in opencv) , and then it does "steering" for which side has the higher value. No steering damping at all etc.
@@python9657 my guess is he is using edge detection in opencv. that will give you good framerates. and it probably only look at half of the screen. So if its another street the result would be very different i guess. but its clearly only using arduino to steer a motor. not for the edge detection.
Magnifico , Could you tell me which camera to use?
hi, I respect your work but I wanna ask you about something. How to control steering motors with image processing. How did you get over this problem? what is the between of the steering motors and which did image processing computer
Çağatay KARADEMİR use python to control a servo motor. When left is detected, turn clockwise, when right is detected turn anti-clockwise
he made the mechanical steering. by using Arduino and a motor attached to it and link pyhton with Arduino by using serial connection port
Focus mk3.5 2017 can work?
Hi, could you give some advise how to make steering? and how to detect which direction should the car turns.
Awesome project man. Can you tell me how did you communicated between python and arduino to drive the steering ?
It is a great project but there is something I wanted to know, when ever there is a prompt of turn right the steering is making more than 1 revolution when ever there is a prompt, and when a left comes, the steering took only 3/4th of the revolution. Doesnt it effect the position of the wheel. Can you explain that to me please. Thank you
Which aurdino did you used
What type of cameras do u use??
nice work out,, recently i also came across such work.. It would be great if you share atleast the work flow of the code and pseudo code for it. Especially mechanical steering and lane deviation..
Brilliant maan,,,,,It’s a toy model of autonomous car 🚗........Would you please post the tutorial????
Does anyone knows how to get location of a particular point in its equivalent transformed (perspective) image ?
I need that for steering angle
So the software will identify the lines and give a mid point of the 2 line markings. And then based on any obstacles, it will again assist to switch lanes. Could you advice on how you did that?
so where to download the software on GITHUB?
How do u do it?
its amazing
Very interesting. How did u do it. Will you be able to support
I've been working on a project to detect tractor tracks on the ground for some time, but I'm not successful. Would you show the code?
what's your github? I would like to check out the source code please and thank you :)
good work！ wait your future progress ~
i m using logitech webcam to get images but its not working as real time how to make it real time any idea?
Can you give code ? I want learn but I do not know how to began. Thanks.
hey,can you share the source code please?
great project, and I love it. please go ahead.
Can you share the source code for it ? Thanks or explain a bit about the generic algorithm used ?
Hi, how do you calculate the steering angle ?
just a vector based on deviation from center
good，have you creat a project on github? where is it?
Good! Is the source code available?
Github Code please :)
Wow 😲 nice creation
Can you please share the source code to practice it
Hey I'm trying to do something similar and would appreciate it if you could upload the source code. Thanks!
Amazing .. can you share the workflow
Can you guide me how to sync python opencv with arduino?...
i'm so interesting with your project. So, may you share with me your source code ?
Well i'm not sure you would reply this comment. It seems that you used Contours not Hough Line. If that's right, i am just curious why you used contours based line detection rather than Hough line? Is there some reasons that you choose to that?
Your opencv is run on ur mac or the arduino standalone?
I think it needs more processing power than arduino. PI uses SOC so it can perform standalone but you have to use PC for arduino
hello @Kittipong G! Its really a great job! Are you still working in the code? I am interested in the code, could be possible to share it with me? Thanks in advance
Hey man great work. I know everyone has already asked you this, but its been a few month. Is this source code posted or can it be posted now? thanks
can get the source code i try to doing the same project
I did the same thing (but different algorithm) but I'm using it to give autonomous driving to an RC car.
Hi
Can u help me out in this.cos am doing a similar project using matlab image processing. Pls contact me so we can discuss and possible share ideas and codes. smoveh@yahoo.com
I need to see that code! Amazing
How to determine the turn can you help me
vanish point,I think.
İ did the same; but İ am getting dissatisfying results! may be you can assist me on how to fix the results! :(
Can you please share your code here?
I made a bus detection, classification and tracking system. It's my first program so it's simple.
Kev P. M. Keep it up
AllMight Qs Thanks, I posted a video about that. You can take a look if you want.
Kev P. M. Sure 😁
excellent bro. you did it
ในไทยใช่มั๊ยครับ ? ทดลองขับแบบไร้คนขับยังครับ ?
Cool ! Could I see the source code, please!!
Wow.. so cool! How are i get your code??
MAN THIS IS SO COOL ANY CHANCE YOU COULD SHARE YOUR CODE ? I AM A NEWBIE AND WATCHING THIS GIVES ME SO MANY IDEAS
to be continue 1:03
I guess you rely on internet connection to process images. That is already bad news, but not bad from an arduino tho
you can now deployment model at the edge with openvino
Great work, please share with us the source code for education and development purpose
Seriously? Arduino?? Which one?
нет прогресса нейросети. три года назад прогресс был, а сейчас все на одном месте)) и что? почему обнаруживается автомобиль и мерцает? почему не держит цель без мерцаний? это плохо
great job, Sir!
when will the source code available?
Please! could you share your code? thanks!
Hi, how are you? is the code available? really is a good job!
Source Code?
What about code tutorial?
Great work
opencv works in night environments?
I need to detect an object in a dark environment, but the object has lights ..... help!
No it doesnt. Opencv uses image processing, no light = no image = crash.
What you need is night vision cams
stop driving in the dark :)
Brruh it's 2022 give us the source code 😢
Plz share the code
That's awesome man
Can you please share your code... Thanks in advance :)
great job!
fantastic, I will do the same too, really interesting
haha I thought you put opencv on the Arduino and you let it drive the car
at least you share the code to us
Liked it brooo
Mechanical steering seems a little bit slower than the situation in real time.
The faster a car goes the slower you'll have to steer or the car can roll over
Source Code Please :)
why so you can cheat on your next exam
lol
Freeloaders for you...
hey man please lend the code
Great project! I'm not gonna ask for the code because I would like to develop my own. But I would thank you if you tell me what algorithms to use. That way I could really understand it. Thanks a lot! :)
it might be using object detection( canny edge detection)
Heyy can u give me source code
That's great. Did you run OpenCV on a Pi / SBC or was that running on Arduino also?
how up link
Respect!
Please publish the code!!!!!!
-nice work!
Tiembla TESLA ¡¡¡tiembla aaa!!!!!
how to make please share learning contain
Nice bro
code please :-)
wonderful 💯😵
I didnt find the original GitHub repository but I've found another one that can be helpful:
github.com/canozcivelek/lane-detection-with-steer-and-departure
this is good repository. tkank you very much
thanks a lot bro!!!
Hello, how do we contact you?
I would love to have a look on the code
This is great
Wow , good job bro
Can you send me your code please
Great project! Is the source code available?
I’m still fine-tune the detection algorithm. I will share it on the GitHub later.
Looks nice! Have you released it on github already?
Can You Please Send Me The CODE On : mhamadk,zein@gmail.com
I Would Rly Appreciate That.
@@kittipongg8201 hey can you help me with the steering module system please email:prajwal.s1321997@gmail.com
Did you got the code?
Yes perfet BUT How ???
Great!
code
I Turbostudyed and the mask does not follow. I do a daily and I wave-scratch !!! I cut silence and beat pitched !!!! I gave a name and won my money on the company and lost eBay watch list , no matter !!! Yeah that’s the run !
Car Detection in the video frame using OpenCV in Python: ua-cam.com/video/PvzdAXTItgU/v-deo.html
Not a good idea letting anyone write a hello world application for autonomous vehicles
Wow, your Tesla!