OpenCV Raspberry Pi Self Driving Car using Neural Networks

In this video, we will look at the process of creating an OpenCV Neural Network self-driving car using Raspberry Pi.

Step 1: Create the path
Step 2: Data Collection
Step 3: Train the Model
Step 4: Run New Model
Step 5: Add Traffic Sign Detection

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[israfilarannya]

Another video from you and I became exited again !! Such an amazing learning source!! ❤

[SimulatedSultan]

looking forward to the complete tutorial. Keep up the amazing work.

[ecp]

Another great project to share. I'll be thanked to see all the tutorial. !

[doublesami]

Murtza bhai tusi great o Chak k rakho kam

[syedumaidahmed]

Sir ! I am following the complete course and making this car. I need a little advice for integrating signal light detection, obstacle detection and signs detection in the same project. Need a very little direction. I will do all by myself.

[danianiazi]

Can you list the hardware needed to implement this project at home

[deepikarathod]

great but when are you completing with nvidia jetson nano

[karthikb.s.k.]

Nice which version of raspberry pi used.

[ABDULAHAD-xrsk]

Great, I would like to learn more on this topic!

[_gimidas]

Would you mind briefly explaining how you approach the sign detection problem on a kinda low resource platform like rpi? I know that you're gonna make a full tutorial later but I am doing some research about that and a quick answer would really help me :D

[johncaling]

Will you make a more detailed video(s) that explain how to do the steps?

[cumulus]

Can I ask what version of RPi you were using?
Were you running both lane detection neural network model and traffic sign detection model at the same time on Pi?
Can raspberry pi react in real-time in your case?
How did you manage the temperature?

[justinpatel]

Nice work, can you please share how did you do the traffic sign detection?

[alfonsoreyes]

very cool project, one question, why not use jetson nano instead? i see videos in your channel with the nano, it will have a better performance

[solardad]

Good demo. Are you using python opencv? I just finished your tutorial series on Yolo v3. Was able to apply the object detection to create a follow me rover that's a 150 pound outside rover. Would also like to see more detail on this demo. I have been trying to find a tutorial on floor segmentation but no luck so far. Maybe you could do a tutorial series on how to detect the floor or in my case the ground in python opencv...

[diezitrone_]

How long does training took and how many images you used for training?

[KortNext]

when are tutorial videos available? I'm thinking with jetson nano

[TheChanhk]

Murtaza, compared to the Lane Recognition method, do you think NN is more or less efficient to achieve the same purpose?

Btw, happy to see yet another interesting project from you soon!

[o_poky]

Do you have a tutorial about training the model ?

[halitsudan]

can you make a tutorial of the project plase