The BROAD workshop
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 focuses on two major aspects of these questions. The first is the identification of major challenges across all aspects of autonomous driving (algorithmic, societal, law-related, standardization, 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? do we need explainable ML methods in general? how to select training data?). But these could also be non-technical questions like law-, insurance-related, or ethical questions.
The second aspect is the discussion of potential, cognitively-inspired and ML-based solutions. 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: half day or full day (depending on the number of submissions).
Date and site: The BROAD WS will take place as part of the IEEE Intelligent Vehicles Symposium 2021 at Nagoya, Japan, from July 11th till July 15th – and presumably again as an online conference. The workshop day is July 11th.
Workshop program will follow soon. A program flyer will be added as well.
The workshop will feature a keynote from a prominent representative from industry or academia (compare the websites of BROAD 2019 and 2020).
Title and abstract will be added soon.
There will be a mixture of invited talks, regular paper presentations, and discussion rounds. Details will be given soon.
It is planned to organize again a poster session accompanying the workshop. Details will be given soon.
CFP / Submission
The workshop explicitly focusses on broad, general issues (such as general safety challenges, properties of different paradigms currently in use (in particular ML, or biological or cognitively inspired ones that go beyond reducing cognition to classification problems), and comparisons thereof), including law-related, standardization, 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: March 29th, 2021 (the submission code will be given soon) <!-- is y82p2) --> - Notification of workshop paper acceptance: tbd - Final Workshop paper submission: May 31st, 2021 - IV 2021: July 11th - 15th, 2021 (workshop: July 11th) -- tentative!
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 https://2021.ieee-iv.org/information-for-authors/
The paper submission site is now open:
The submission code for this workshop will be given soon.
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.