What are the new frontiers of autonomous driving: Are there open technical or non-technical issues that impede autonomous driving now or in the upcoming future? Can cognitive inspiration and machine learning (ML) help us here or do these approaches lead to new problems?
The workshop is structured in two sessions to focus on two major aspects of these questions. The first session will identify major challenges across all aspects of autonomous driving (algorithmic, societal, etc.) that are supposed to or that could probably impede the development of autonomous driving (AD) or its introduction on the market. These could be technical issues (how many test miles need to be driven? is ML reliable? how to select training data?). But these could also be non-technical questions like law-, insurance-related, or ethical questions. Therefore, two different keynotes will be given: one OEM (Mercedes-Benz USA) and one legal scientist (Leibniz University, Germany).
In the second session, cognitively-inspired and ML-based solutions will be presented. Here, we will focus on two approaches: pure ML, and bio-inspired approaches that try to mimic cognitive mechanisms observed in humans and/or animals in a reasonable amount of detail. Each approach has their own particular advantages and limitations. For example pure ML often requires large amounts of training data, yet is typically very brittle while bio-inspired approaches are by necessity based on incomplete theories, and we’re still missing convincing demonstrations in real applications.
(Workshop format: full day. A schedule will be given soon.)
The workshop will feature two keynotes from prominent representatives from academia and industry:
Dr. Christoph Schroeder, Vice President Autonomous Driving N.A., Mercedes-Benz R+D N.A., will talk about the challenges on the way to automated driving. In this talk he will give some updates on the current status of the technology (with some videos) as well as technical, societal and legal challenges going ahead. Another focus topic is verification and validation of automated driving functions including the development process that is applied at Mercedes-Benz.
Prof. Dr. Jutta Stender-Vorwachs, Faculty of Law, Leibniz University Hannover, Germany. Prof. Stender-Vorwachs and Prof. Oppermann organised a first legal-engineering interdisciplinary workshop in 2017 and edited a book on legal aspects of autonomous driving. Details of the keynote will be given soon.
A mixture of invited talks and regular paper presentation is planned.
Depending on the number of submissions a poster session will be organised.
CFP / Submission
The workshop explicitly focusses on broad, general issues (such as general properties of different paradigms currently in use (in particular biological or cognitively inspired ones that go beyond reducing cognition to classification problems), and comparisons thereof), including societal and ethical ones. We solicit papers that are in the spirit of this broad nature of the workshop.
Workshop papers have to be submitted in the same process as the symposium papers.
Workshop paper submission: February 7th, 2019 (the submission code is BROAD) Notification of workshop paper acceptance: March 29, 2019 Final Workshop paper submission: April 22, 2019 IV 2019: June 9 - 12, 2019 (workshop: June 9th)
Authors of accepted workshop papers will have their paper published in the conference proceeding. At least one author needs to be registered for the workshop and the conference. Information on paper and submission is common with all symposium papers and is available at http://iv2019.org/information-for-authors/
The paper submission site is now open:
The submission code for this workshop is “BROAD”.
Affiliation: Department of Computer Science, Faculty TI, University of Applied Sciences Hamburg
Email address: Tim.Tiedemann@haw-hamburg.de
Affiliation: Interaction Lab, School of Informatics, University of Skövde, Sweden and Donders Institute for Brain, Cognition, and Behaviour, Radboud University, The Netherlands
Affiliation: Department of Automatic Control and Systems Engineering, University of Sheffield
This workshop is supported by the European H2020 project Dreams4Cars, grant agreement number 731593.