simulating SLAM from scratch using python | introduction
Вставка
- Опубліковано 8 сер 2024
- in this practical Tutorial, 🔥 we will simulate the simultaneous localization and mapping for a self-driving vehicle / mobile robot in python from scratch
this video will introduce SLAM and its importance in autonomous navigating vehicles like ( tesla, waymo , Volvo and .... ) and also briefly present the work to be done in future videos.
stay tuned and activate the notifications so you don't miss videos from this series
💻 my services are available on Fiverr: www.fiverr.com/mouad2021
🔗 Playlist :
1 - introduction: • simulating SLAM from s...
2 - LIDAR : • simulating a LIDAR sen...
3 - Feature Extraction (theory) : • Feature Extraction fro...
4 -Feature Extraction (code) • Feature Extraction fro...
5 - Data association : • Data association for S...
⏱️ TimeStamps :
0:00 introduction
0:12 what is SLAM ?
0:35 why you must learn SLAM ?
0:55 what we will do in this series
🏷️ HashTags:
#SLAM #selfdriving #python #simulation - Наука та технологія
support the channel by liking the video 🙂 🔼 and leaving your suggestion regarding this series and other videos
Will follow this closely, been interested in SLAM for a while and didn't know how to get started. Excited to see whats coming!
You have no idea how much you are helping me right now! I'm really grateful for the content.
I can’t wait..! I’m looking forward to watch the slam lecture series soon! :-)
Hope you enjoy it!
Just the series that I need. Thank you for all this. Your RRT series was also really helpful.
I'm glad you guys find my content helpful.
Subscribed.... If whatever you said is in the series.. then am glad you made this series. God bless you and thank you 🙂.
Super interesting, hope your subscribers skyrocket after this because you definitely deserve it!
I appreciate the motivating comment , thanks
I already love this channel. I subscribe from the first video I watched.
thank you for the positive reaction welcome to our little community
Great videos loving it please keep making these videos
Thank you! Will do!
Thank you for this useful tutorial.
This channel has good scientific content that I recommend subscribing to it :)
thanks a lot 🙂, i appreciate it.
amazing. If possible show gtsam , g20 and ceres . Also , if possible make one using C++
I am looking forward to finish this serie
thank you alper Yasin , stay tuned.
Thank you Brother
This is vital
👍👍
Hello,
The production value of your videos are amazing. Similar to pygame is there anything for C++, like where can test out the kinematics of diff drive and also work out path planning algorithms?
i think grafix libraries in c++ , like opengl are useful in visualisation , but my advice for you is to learn python , so you can quickly test any ideas you migh have
Will it work in real environment or just in simulation? I mean, can i use this solution with my LIDAR sensor data's?
the simulation code should be close to real-life examples, so you can apply it with minimum modification
Thank you so much! You are doing amazing work.
Doe it know where it is ?
Can we apply this simulation vin continuation to the previously formed video series for RRT path finding algorithm
yes i'll do this in the end
@@hobby_coding we have completed the rrt part now we want to implement a robotic motion on the optimal path so could you upload or try to bring the video by this week. It would be very helpful
@@rushilborad9541 do you mean, an optimal path planning algorithm? or path tracking?
@@hobby_coding a path tracking algorithm that could be applied to the simulation formed by rrt path planning which you made video on.
@@rushilborad9541 i already made this video , link : ua-cam.com/video/Tllz7Ox2B3g/v-deo.html
hello, working in a similar project. Request if I can get in contact, please?
sure , email me and we'll talk : ) .
bro can you please provide this project .
Hello, are your services still available on fiverr?
Unfortunately not, i did Fiverr to support myself during my PhD years.
but now i have too much work on my hands.
All i can do now is to answer your questions in the comments section.
@hobby_coding But thank you very much for your valuable content, it helps me a lot. Do you have any tip on how I can apply your simulation approach in a real environment by using RP Lidar and Rasphberry Pi as a device for mapping a space?