This week we keep going for real! In this lecture, we are going to learn about how to detect objects and obstacles using a camera. In particular, you will learn:

* Camera Basics
* Camera Calibration
* How to do Object Detection with a Camera
* Which are the available Toolboxes
* Hands-on-lab doing Line Detection

Teachers:
* Michael Reke
* Alexander Ferrein
* Stefan Schiffer
* Gjorgji Nikolovski

You can get the slides at the following link:
* https://gitlab.com/ApexAI/autowareclass2020/-/blob/master/lectures/08_Perception_Camera/Lecture_08.pdf

You can get the special notebook with details about the practice at:
* https://gitlab.com/ApexAI/autowareclass2020/-/blob/master/lectures/08_Perception_Camera/Camera-Hands-On.md

You can get the code shown on the video at:
* https://gitlab.com/ApexAI/autowareclass2020/-/tree/master/code/src/08_Perception_Camera

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 http://lge.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

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