SAFE-DRIVE

June 4th 2024, Jeju, South Korea


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Welcome to the Safe-Drive IV Workshop 2024!

Ensuring the safety of autonomous vehicles is a complex and intricate task that necessitates a comprehensive approach across various domains. Given the prohibitive costs of real-world testing, simulating edge scenarios emerges as a viable solution to ascertain the safety of AVs. However, traditional simulation methodologies often impose a trade-off between realism and controllability, creating substantial discrepancies in accurately mirroring the complex dynamics of real-world driving scenarios. Additionally, these data-driven simulations tend to neglect the complex network of multi-agent interactions that AVs must navigate, a critical factor influencing both safety and operational efficiency. This requires a holistic approach to simulation, one that incorporates the subtle interactions between various road users and environmental conditions, ensuring the evolution of robust and reliable AV systems.

Contact: iv2024safeav@gmail.com

Call For Papers

This workshop aims to foster advancements in AV safety and adaptability by delving into innovative, data-driven simulation methodologies and exploring the complexities of multi-agent interactions. The topics of interest within the scope of this workshop include, but are not limited to :
 •  Generating data-driven traffic simulations for autonomous vehicle (AV) safety
 •  Pedestrian prediction and its effect on AV safety
 •  Transparency and explainability of vehicle-pedestrian interactions in multi-agent environments
 •  Transferable and continual driver behavior modeling
 •  Adversarial testing and validation frameworks, adversarial attacks, and falsification of autonomous vehicle (AV) sub-modules (e.g., perception, decision-making, communication, and control)
 •  Applications of AVs interacting with human agents
 •  Naturalistic driving environment modeling with statistical realism

Keywords

AV safety; AV motion planning; Data-driven traffic simulations;Driver behavior modeling;Pedestrian-prediction;Pedestrian-vehicle-interactions;Explainability of interactions;Adversarial testing;

Keynote Speakers

  • Mohan Trivedi

    Mohan Trivedi

    Professor
    University of California, USA

  • Moongu Jeon

    Moongu Jeon

    Professor
    Gwangju Institute of Science and Technology, South Korea

  • Marco Pavone

    Marco Pavone

    Associate Professor, Stanford University &
    Director of AV Research, Nvidia USA

Submissions

Workshop Code for submission: SAFE-DRIVE
Workshop Paper Submission deadline: 1st February 2024 at 23:59 Anywhere on Earth
Workshop Paper Notification of Acceptance: March 30, 2024
Workshop Final Paper Submission Deadline: April 22, 2024
Paper submission here.

FAQs

Q: Will there be archival proceedings?
A: Yes, All submitted manuscripts will be peer-reviewed and will be published in IEEE proceedings.

Q: Should submitted papers be anonymized or without authors names?
A: No.

Q: My paper contains ABC, but not XYZ, is this good enough for a submission?
A: Submissions will be peer-reviewed based on the information provided here.


Q: My question is not listed here. How can I contact you?
A: Please reach out to us at the email address iv2024safeav@gmail.com and we'll be happy to answer any questions you have!


Q: Will the deadline for paper submission be extented?
A: We are afraid that all deadline are firm and will not be extended.

Q: What is the unique code for this workshop for submission?
A: The unique code for submitting the paper for this workshop is "SAFE-DRIVE". More Information here.


Schedule

June 2nd, 2024. All times are in Korean Standard Time (KST). Current time is

TBD

Accepted Papers

TBD

Organizers

  • shoaib Azam

    Shoaib Azam

    is a Postdoctoral Scholar at Aalto University & Finnish center for Artifical Intelligence, Finland.

  • Tsvetomila Mihaylova

    Tsvetomila Mihaylova

    is a Postdoctoral Scholar at Aalto University, Finland.

  • Stefan Reitmann

    Stefan Reitmann

    is a research fellow at Lund University, Sweden.


  • Farzeen Munir

    Farzeen Munir

    is a Postdoctoral Scholar at Aalto University & Finnish center for Artifical Intelligence, Finland.

  • Syed Arsal

    Syed Arsal

    is a Postdoctoral Scholar at RTIS lab University of Nevada Las Vegas (UNLV), USA.

  • Nico Uhlemann

    Nico Uhlemann

    is a PhD student at the Technical University of Munich, Germany.

Advisory Committee

Partners

Location

Theater B, 2nd floor
Landing Convention Centerr, 38 Sinhwayeoksa-ro 304 beon-gil, Andeok-myeon Seogwipo-si, Jeju, South Korea