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Workshop Program -- Coming soon
Preliminary program, maybe subject to changes
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08:30 - 8:40
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Welcome & Introduction
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08:40 - 09:30
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Keynote speaker 1: Prof. Antonios Tsourdos (confirmed)
Title: A New Security Paradigm for Cooperative Autonomous Systems
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09:30 - 09:50
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(paper 1)
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09:50 - 10:10
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(paper 2)
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10:10 - 10:40
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Coffee Break (30mn)
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10:40 - 11:30
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Keynote speaker 2: Prof. Lounis Adouane (confirmed)
Title: Resilient and Trustable Control Architecture for Autonomous Navigation in Complex Environments/Situations |
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11:30 - 11:50
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(paper 3)
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11:50 - 12:10
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(paper 4)
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12:10 - 13:00
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Open-ended discussion
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13:00
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Closing
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Short Description:
Automated driving systems have become one of the most exciting and important innovations in the transportation history. Indeed, the challenge to have fully autonomous vehicles for passengers’ transportation is about to become a reality. Nevertheless, the diversity of driving conditions and situations to be encountered may lead to unexpected events, which may be hazardous. The efficiency of autonomous vehicles is then subject to the capability of managing risks, while preserving the vehicles’ integrity, with respect to several aspects, such as: vehicle dynamics variations, reliability of sensor/perception information and variation of driving and environmental conditions. The proposed workshop will permit to discuss how to ensure a Long-Term Autonomy[1] of I/AV while maintaining a high level of safety during the navigation process. Moreover, the workshop is expected to initiate interesting discussions about a possible generic design methodology closing a link between systemic approaches and AI developments in order to efficiently and safely address I/AV navigation in complex environments/situations.
The workshop aims at presentation of the cutting-edge research topics, new original theoretical achievements, practical results and high-fidelity simulations protocols, with a focus on guaranteed safety and flexibility of maneuvering with I/AV in various transportation domains, and using different research methodologies: the formal and machine learning ones. Submissions illustrating combinations of these two general methodologies leading to synergetic results are in a special interest of the workshop.
[1]It is important to note that LTA means in the proposed project, that the vehicle can deal with a large variety of driving situations (e.g., navigation in dense urban traffic, round-about/intersection or unstructured area) and environment conditions (e.g., wet ground, fog conditions), without obliging the vehicle to stop or to delegate the driving to the person inside.
Keywords: Intelligent/autonomous vehicles, safe maneuvering, safety guarantees, control architecture, motion algorithmization for safety and flexibility, risk assessment and management, long-term autonomy, safe connected and cooperative vehicles, model-based approaches, data-driven approaches, safety in ADAS.
Important dates:
Workshop paper submission deadline: ...
Notification of workshop paper acceptance: ...
Final workshop paper submission: ...
Workshop date: ...
More details on the workshop details, motivations, main topics of interest and global organization are given though this link.
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Workshop organizers:
Lounis Adouane, Professor, Université de technologie de Compiègne, CNRS, Heudiasyc, Compiègne, France.
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http://lounisadouane.online.fr
Philippe Martinet, Directeur de recherche, Centre INRIA d’Université Côte d’Azur, ACENTAURI Team, Sophia-Antipolis, France.
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https://team.inria.fr/acentauri/philippe-martinet/
Johannes Betz, Professorship Autonomous Vehicle Systems, Technical University of Munich, Germany
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https://www.mos.ed.tum.de/en/avs/team/prof-dr-ing-johannes-betz/
Antonios Tsourdos, Professor, Centre for Autonomous and Cyberphysical Systems, Cranfield University, Shrivenham, Swindon, SN6 8LA, United Kingdom
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https://www.cranfield.ac.uk/people/professor-antonios-tsourdos-746615
Xuebo Zhang, Professor, Institute of Robotics and Automatic Information Systems (IRAIS), College of Artificial Intelligence (CAI), Nankai University, Tianjin, 300350, China
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