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This week we keep going for real! In this lecture, we are going to learn about localization methods, how they are implemented in Autoware.Auto and how they relate to ROS. In particular, you will learn: Localization for self-driving cars Localization in Autoware.Auto Kalman Filters The robot_localization package NDT algorithms in 2D & 3D Setting all that up in Autoware.Auto Teachers: Josh Whitley Steve Macenski Yunus Emre Çaliskan You can get the slides at the following link: Localization with Autoware: https://gitlab.com/ApexAI/autowarecla... State Estimation Algorithms: https://gitlab.com/ApexAI/autowarecla... 2D and 3D NDT algorithms: https://gitlab.com/ApexAI/autowarecla... In case you have issues following the course, please create an issue at the following repo: Issues: https://gitlab.com/ApexAI/autowarecla... 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 #selfDrivingCarsng for real! In this lecture, we are going to learn about localization methods, how they are implemented in Autoware.Auto and how they relate to ROS. In particular, you will learn: Localization for self-driving cars Localization in Autoware.Auto Kalman Filters The robot_localization package NDT algorithms in 2D & 3D Setting all that up in Autoware.Auto Teachers: Josh Whitley Steve Macenski Yunus Emre Çaliskan You can get the slides at the following link: You can get the special notebook with details about the hands-on lab at: You can get the code of the hands-on lab at: In case you have issues following the course, please create an issue at the following repo: Issues: https://gitlab.com/ApexAI/autowarecla... 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