
The Autoware Foundation is organizing the 2nd workshop Autoware@IV 2020,
which will take place on Friday, October 23, 2020, virtually.
We are looking forward to your participation.
Autoware Workshop
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).
AUTOWARE@IV 2020
PROPOSAL SUBMISSION
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.
Proposal submission
is now closed
AUTOWARE@IV 2020
TOPIC AREAS
All Autoware-related work was invited.
Topics of interest include:
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Best practices
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New packages
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Vehicle-specific development
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Simulation
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Safety and security
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Embedded systems
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Product development & commercialization
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Research and education
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Community organization and direction
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Testing, quality, and documentation
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Competitions and collaborations
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Related open source projects
AUTOWARE@IV 2020
ORGANIZER
Shinpei Kato
The University of Tokyo - Tier IV, Inc.
Jan Becker
Apex.AI, Inc. -
Stanford University
Ignacio Alvarez
Intel
Daniel Watzenig
TU Graz / Virtual Vehicle
Geoffrey Biggs
Autoware TSC manager