I am glad you liked the explanation, it means a lot to me, thanks😊. And as for the question, you are absolutely correct, it was a mistake from my end. Thanks a lot for pointing it out. On line 90, it should be rx.append() and not lx.append indeed. Best regards!
Firstly thanks for your video, so great work. You already mentioned it starting of video but i wanna still ask you are you sure that there is no way to implement this method to build autonomous car?. Can't we make any arrangement for it? What i'm trying to achive is getting rough angle value to send it arduino in order to steer my car.
Thank you @omercandemirci8580, Well the answer is yes, you can get the angle and I believe that it can be used to program an autonomous toy sized to cycle-size robotic car but not an actual one. However, one of the resources that you can use to get the steering angle from the above code: github.com/georgesung/advanced_lane_detection I hope this helps, thanks for watching, happy learning.
@arthurperini Thank you so much for your kind words! Drawing the lines in the original car perspective is definitely an interesting addition. 😊 Stay tuned-I might have something exciting coming this Sunday at 7 PM that you’ll love!
Yes we can do the same using raspberry pi. But in the approach shared, we did not make use of any ml models, but can we dump ml model to Raspberry pi is a different question. Thanks!
![Blox Fruits Dragon Rework Update [Full Stream]](http://i.ytimg.com/vi/EqDAp8udhm0/mqdefault.jpg)
Want to see the lanes mapped back to the original video frame?
Check out the continuation here:ruclips.net/video/QkfVvktGyEs/видео.html! 🚗✨
Thanks....It helped me in doing my semester project..
Glad to hear it helped with your semester project! Best wishes for your studies! :)
thank you explain from korea!
My pleasure, most welcome!
great lecture, thank you
You are welcome!
Hello, thanks for the video! You have explained well how this can be done.
Questioner: Did you have to change "lx" to "rx" in line 90?
I am glad you liked the explanation, it means a lot to me, thanks😊. And as for the question, you are absolutely correct, it was a mistake from my end. Thanks a lot for pointing it out. On line 90, it should be rx.append() and not lx.append indeed. Best regards!
Firstly thanks for your video, so great work. You already mentioned it starting of video but i wanna still ask you are you sure that there is no way to implement this method to build autonomous car?. Can't we make any arrangement for it? What i'm trying to achive is getting rough angle value to send it arduino in order to steer my car.
Thank you @omercandemirci8580, Well the answer is yes, you can get the angle and I believe that it can be used to program an autonomous toy sized to cycle-size robotic car but not an actual one. However, one of the resources that you can use to get the steering angle from the above code: github.com/georgesung/advanced_lane_detection
I hope this helps, thanks for watching, happy learning.
Great work. Thanks. Can you complete the code drawing lines in the car perspective original image
@arthurperini Thank you so much for your kind words! Drawing the lines in the original car perspective is definitely an interesting addition. 😊 Stay tuned-I might have something exciting coming this Sunday at 7 PM that you’ll love!
Make more review of lane detection
Hello there. Can you do front collision warning with this ?
Hello, I am afraid I can't currently manage to come up with a tutorial on that. Thanks for the suggestion, will let you know if I change my mind. :)
can we do the same using raspberry pi and dump our trained ml model into Raspbian os and do the project, Is it possible?
Yes we can do the same using raspberry pi. But in the approach shared, we did not make use of any ml models, but can we dump ml model to Raspberry pi is a different question. Thanks!
@@AdiTOSH ok thank you
@@bharathvarun3407 Most welcome, happy learning!
can i get this code?
Sure, the link is there in the video description.
Hello sir
I need your help
Hello! How can I assist you? Feel free to share your question or concern here.