posted by user: tiedemann || 887 views || tracked by 1 users: [display]

BROAD 2022 : IEEE IV -- 4th BROAD Workshop: Where to from here? Algorithmic, Legal, and Societal Challenges for Autonomous Driving

FacebookTwitterLinkedInGoogle

Link: https://autosys.informatik.haw-hamburg.de/page/ieee-iv-2022-broad-ws/
 
When Jun 5, 2022 - Jun 9, 2022
Where Aachen, Germany
Submission Deadline Mar 15, 2022
Notification Due Apr 10, 2022
Final Version Due Apr 30, 2022
Categories    autonomous driving   autonomous vehicles
 

Call For Papers

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.

The workshop explicitly focuses 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 6th, 2022 (the submission code is 99999)
- Notification of workshop paper acceptance: April 10th, 2022
- Final Workshop paper submission: April 30st, 2022

Details and Updates: https://autosys.informatik.haw-hamburg.de/page/ieee-iv-2022-broad-ws/

Related Resources

ICDM 2024   IEEE International Conference on Data Mining
SoCAV 2024   2024 International Symposium on Connected and Autonomous Vehicles (SoCAV 2024)
IEEE BigData 2024   2024 IEEE International Conference on Big Data
IEEE AIxVR 2024   IEEE International Conference on Artificial Intelligence & extended and Virtual Reality
IEEE WAIE 2024   IEEE--2024 6th International Workshop on Artificial Intelligence and Education (WAIE 2024)
AIKE 2024   7th IEEE International Conference on Artificial Intelligence and Knowledge Engineering
IEEE ICAIGE 2024   2024 IEEE 2nd International Conference on Artificial Intelligence & Green Energy
Dialogical Approaches to the Sphere ‘in 2024   Call For Papers - Dialogical Approaches to the Sphere ‘in-between’ Self and Other: The Methodological Meaning of Listening
S&P 2025   The 45th IEEE Symposium on Security and Privacy
IV 2024   IEEE Intelligent Vehicles Symposium