Autoware Course Lecture 13: Data Storage and Analytics

Описание

In this lecture, we are going to learn how to set up and use the MARV
Community Edition to analyze, retrieve, and visualize ROS bag files and
how to extend it with custom code. In particular, you will learn:

* Setup MARV; find and process ROS1 and ROS2 bags
* Add metadata files with customer scanner
* Use metadata for filter and listing
* Write custom nodes to process data streams
* Use Tensorflow to detect objects in video

Teacher:
* Florian Friesdorf

* Course material (code and README.org):
https://gitlab.com/ApexAI/autowareclass2020/-/tree/master/lectures/13_MARV_Data_Analytics

In case you have issues following the course, please create an issue at the following repo:
* Issues: https://gitlab.com/ApexAI/autowareclass2020/-/issues

This course is brought to you by the Autoware Foundation (https://www.autoware.org/)
The course is hosted by Apex.AI (https://www.apex.ai/)

Lectures provided by the following companies and Universities (in alphabetic order):
* ADLINK https://www.adlinktech.com
* Apex.AI https://www.apex.ai/
* Autonomous Stuff http://www.v2c2.at/
* Embotech http://embotech.com/
* FH AAchen University https://www.fh-aachen.de/en/
* Graz University of Technology https://www.tugraz.at/en/home/
* Kalray http://kalray.eu/
* LG Electronics https://lgsvlsimulator.com/
* Open Robotics http://openrobotics.org/
* Parkopedia http://parkopedia.com/
* Samsung https://www.sra.samsung.com/
* StreetScooter http://streetscooter.com/
* Ternaris https://ternaris.com/
* Tier IV http://tier4.jp/

Course produced by The Construct (http://www.theconstruct.ai)

#ROS2 #Autoware #selfDrivingCars