Computer Vision for ADAS/AD

Welcome to Zenseact's online meet-up about Computer Vision for ADAS/AD! This event is organized in collaboration with the Computer Vision Forum Gothenburg meetup.

==== Description ====
Prepare for an awesome evening, full with lots of insights of the Autonomous Drive world and learn from our Computer Vision experts!

==== Agenda ====
17.00 - Welcome & opening the event (Ana Shontova)

17.10 - 17.40 Computer Vision and Geometry for Automotive Applications (David Tingdahl & Erik Stenborg)

Classical 3D computer vision algorithms are a core part the core of the complete Vision stack at Zenseact. Together with the Deep Learning based methods they solve a large portion of the sensing challenge faced in automated driving tasks.

In this talk a short overview of the Visual Odometry concept (tracking a camera's movement throughout the 3D environment) will be presented, as well as a number of applications and methods that utilize its output. Spanning from dynamic camera calibration to the possibility to localize a vehicle in a map, or even build a map.

17.40 - 17.50 Q&A Session with David & Erik

17.50 - 18.20 Computer Vision at Zenseact (Erik Rosén)

In this talk, Zenseact's computer vision stack will be presented, which is a combination of deep neural networks and more traditional vision algorithms. There will be also reflections on the challenges of computer vision as well as describtion of Zenseact's toolchain for deep learning. Engaging Tech discussion will follow.

18.20 - 18.30 Q&A Session with Erik

18.30 - 18.40 Closing the event (Ana Shontova)

This is an online meet-up, however there are Q&A sessions and opportunity for interactions throughout the event! :)

Visit https://www.zenseact.com/ to get all information about the event host.

==== How to join ====
This is an online meetup. Join directly from the meeting link: https://zenseact.webex.com/zenseact/j.php?MTID=me51d7402eb20e876353a12b2dc9dcc33

Join by meeting number
Meeting number (access code): 181 897 2820
Meeting password: s2pYSca
Need help? Please visit https://help.webex.com

See you there!