Autoware@IV2020 will be a workshop for developers, in the model of ROSCOn, PyCon, and BoostCon. We aim for a full-day program that will comprise technical talks and tutorials that will introduce you to new algorithms, tools, and libraries in Autoware, as well as teach you more about the ones you already know.
The bulk of the program will be 10-30 minute presentations
(some may be longer or shorter).
We are now accepting proposals for presentations at the workshop. Presentations on all topics related to Autoware are welcome, e.g. introduction of the participants to an Autoware package or a library or application, investigation of the use of tools, etc. The proposals will be examined by the program committee which assesses their suitability, influence, and balance.
Women, members of minority groups, and members of other under-represented groups are encouraged to submit presentation proposals for Autoware@IV2020.
Proposals will be reviewed by a program committee that will evaluate fit, impact, and balance. We cannot offer presentations that are not proposed!
If there is a topic on which you would like to present, please propose it. If you have an idea for an important topic that you do not want to present yourself, please post it for discussion at Autoware Discourse or Slack.
August 30, 2020
The full details of the program will be announced after the proposal submissions have been selected.
Until August 30th, 2020 we encourage you to submit your proposal. For planning purposes here’s the expected start and end time.
Morning Registration open
(Please arrive early to allow time to collect your badge and conference bag before the presentations start. We expect there to be a line for registration on the first day.)
9:00 Opening Remarks
All Autoware-related work was invited.
Topics of interest include:
Safety and security
Product development & commercialization
Research and education
Community organization and direction
Testing, quality, and documentation
Competitions and collaborations
Related open source projects
The University of Tokyo - Tier IV, Inc.
Apex.AI, Inc. -
TU Graz / Virtual Vehicle
Autoware TSC manager