[Ieee_vis] IEEE CG&A Special Issue CFP - Visual Computing for Autonomous Driving

[Siming Chen]

Dear All,

    Welcome to submit your paper to our CG&A Special Issue;)

Important Dates

   - Submissions due: 1 December 2023
   - Publication: May/June 2024

------------------------------

In recent decades, the field of autonomous driving technology has witnessed
remarkable growth. With the support of artificial intelligence,
self-driving cars are transitioning from concept to reality, offering
immense potential for reducing traffic accidents and transportation costs.
However, despite the vast amounts of data generated by autonomous vehicles,
it remains underutilized, particularly in the areas of visualization and
visual analytics.

Numerous studies have underscored the importance of visualization in
diagnosing, evaluating, and interpreting autonomous driving models. The
high-dimensional, multimodal, and spatiotemporal nature of autonomous
driving data presents significant challenges in leveraging visualization to
reveal underlying correlations and patterns. By addressing these
challenges, we can provide invaluable insights to benefit developers in the
autonomous driving field.

The aim of this special issue is to advance the knowledge and understanding
of autonomous driving through visual analytics, paving the way for novel
insights and developments in this rapidly evolving domain. We invite
contributions that explore innovative methodologies and effective
applications of visualization and visual analytics methods in autonomous
driving research.

Topics of interest include, but not limited to:

   - Visual Exploration of Autonomous Driving Scenarios
   - Spatiotemporal Visual Analytics for Traffic Data
   - Interactive Annotation Tools for Autonomous Driving Data
   - Explainable AI (XAI) in Autonomous Driving Algorithms
   - Visualization and Visual Analytics of Autonomous Driving Data
   - Visual Assessment of Autonomous Driving Performance
   - Visual Pattern Mining in Autonomous Driving Data
   - Visual Diagnosis of Autonomous Driving Models
   - Visual Storytelling in Autonomous Driving Contexts
   - Training Data Synthesis and Machine Learning for Autonomous Driving
   Applications
   - Enhancing Navigation, Kinematics, Sensing, and Planning through
   Visualization Techniques
   - User Interface and Interaction Design for Autonomous Driving Systems
   - Interactive AI Toolboxes for Autonomous Driving Development

------------------------------
Submission Guidelines

For author information and guidelines on submission criteria, visit
the Author’s
Information
<https://www.computer.org/csdl/magazine/cg/write-for-us/15470?title=Author%20Information&periodical=IEEE%20Computer%20Graphics%20and%20Applications>
page.
Please submit papers through the ScholarOne system
<https://mc.manuscriptcentral.com/cs-ieee> and be sure to select the
special issue or special section name. Manuscripts should not be published
or currently submitted for publication elsewhere. Please submit only full
papers intended for review, not abstracts, to the ScholarOne portal. If
requested, abstracts should be sent by email to the guest editors directly.
------------------------------
Questions?

Contact the guest editors at cga3-2024 at computer.org.

   - Siming Chen, Fudan University
   - Liang Gou, Bosch Research
   - Michael Kamp, Institute for AI in Medicine, and Ruhr-University Bochum
   - Dong Sun, Nio.co

Best,
Siming
-- 
Asso. Prof. (Dr.) Siming Chen

School of Data Science, Fudan University

Tel :+86-18801114625

Addr: 1305-1 Xinjinbo Building, 539 Handan Road, Shanghai 200433

Website: http://simingchen.me
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