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AUTONOMOUS DRIVING
MACHINE LEARNING
SOCIETY
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About |
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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. |
Call for Papers |
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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. |
Summary |
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BROAD 2020 : Where to from here? Algorithmic, Legal, and Societal Challenges for Autonomous Driving will take place in Las Vegas, IEEE Intelligent Vehicles. It’s a 1 day event starting on Jun 23, 2020 (Tuesday) and will be winded up on Jun 23, 2020 (Tuesday). BROAD 2020 falls under the following areas: AUTONOMOUS DRIVING, MACHINE LEARNING, SOCIETY, etc. Submissions for this Workshop can be made by Mar 14, 2020. Upon acceptance, authors should submit the final version of the manuscript on or before May 02, 2020 to the official website of the Workshop. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the BROAD 2020
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Credits and Sources |
| [1] BROAD 2020 : Where to from here? Algorithmic, Legal, and Societal Challenges for Autonomous Driving |
