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Resources for the LiDAR Course
C++
Udacity - C++ For Programmers (intermediate C++)
https://www.udacity.com/course/c-for-programmers--ud210
Construct Sim - C++ for Robotics
https://www.theconstructsim.com/robotigniteacademy_learnros/ros-courses-library/cpp-for-robotics/
Python
Construct Sim - Python3 for Robotics
https://www.theconstructsim.com/robotigniteacademy_learnros/ros-courses-library/python-robotics/
ROS
Medium Article
https://medium.com/black-coffee-robotics/ros-core-concepts-24972a2743cf
Linux
Construct Sim - Linux for Robotics
https://www.theconstructsim.com/robotigniteacademy_learnros/ros-courses-library/linux-for-robotics/
After a given amount of imactivity the AWS instance willlock out the user. There does not seem to be a default password so they cannot log back in.
Frameworks and tools to be used
Objects to be recognised
User runs a script to play back data.
Goal - Load, manipulate and act on ROS data
Open a Gazebo World to use for Simualtion
Create a LiDAR within this world
Modify the LiDAR accoring to a datasheet
Simulate a scene and output a point cloud
Gazebo - https://automaticaddison.com/how-to-load-a-world-file-into-gazebo-ros-2/****
We will learn to
We will learn to
Check all rules, read about best practices etc
Add some basic data for people to use in their projects
Can we use a Flutter + Firebase to set this up?
4 Sections over 2 days
What goes in each section?
What I need to have delivered for each section?
What the course attendees will gain from each section?
gmail
google remote desktop
Set up a space for shared data like lidar scans, course notes etc
Install ROS
Can users create new nodes etc
https://www.modus-ai.com/lidar-university-2/
https://learngeodata.eu/point-cloud-processor-formation/
https://www.jiaxinli.me/event-details/my-online-course-of-point-cloud-processing
https://courses.thinkautonomous.ai/point-clouds
http://wiki.ros.org/pcl/Overview
https://www.youtube.com/watch?v=5CvqJ5EFbE4
https://github.com/subodh-malgonde/Robotics/wiki/Lab-30%3A-Introduction-to-point-cloud-processing
Output - Details of what we need to deliver in our course to be competitive
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Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.