Special issue on Recent Advances in Autonomous Vehicle Solutions in the Digital Continuum

Special issue on Recent Advances in Autonomous Vehicle Solutions in the Dig ital Continuum

Computing Journal, Springer Nature

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The domain of autonomous vehicle computing systems is changing rapidly unde r the pressure of an intense competition, the continuous emergence of new m arkets and players. Research and development in autonomous vehicles poses m any challenges and opportunities both in hardware and software across the D igital Continuum: from sensors at the Edge to HPC resources in the Cloud. H ardware requirements range from specific processor architectures, efficient SIMD processing on graphics processors, and efficient memory hierarchy. Si milarly, software requirements range from operating system support and spec ialized image processing kernels, to efficient deep learning algorithms for scene and object detection. Special attention is paid to power limitations , cost for mass production, and safety.

This special issue of Computing addresses recent advances for autonomous ve hicles in the Digital Continuum encompassing the Edge, Fog, and Cloud Compu ting. Topics of interest include, but are not limited to:

- Workload characterization and benchmarks for autonomous vehicles to be us ed in heterogeneous platforms.

- Special accelerator architectures and microarchitectures to be used on th e Edge.

- Resource allocation approaches for autonomous vehicle computation needs.

- Scheduling heuristics and run time environment solutions to achieve bette r throughput in computing systems with different constraints.

- Framework and prototype experiences with integration of specialized compo nents.

- Testbed implementations with heterogeneous computing resources for autono mous vehicles.

- Memory system design for specialized hardware.

- System impact of offloading computation including interconnect technology , bandwidth, and data processing.

- Programmability of heterogeneous hardware resources with variable distanc es.

- Techniques to facilitate configurability or configurable solutions.

- System evaluation and analysis of specialized platforms.


- Ozcan Ozturk (Lead Guest Editor), Bilkent University (TR),

- Sabri Pllana, Linnaeus University (SE),

- Kaoutar El Maghraoui, IBM Thomas J. Watson Research Center (US).


- Submission Due: 1st Sep 2020

- First Review Notification: 1st Nov 2020

- Revision Due: 1st Dec 2020

- Final Review Notification: 1st Feb 2021


Formatting: All submitted manuscripts must be formatted according to Comput ing's Submission Guidelines/Instructions for Authors which are available at

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We will accept both LaTeX manuscript s (Springer templates to be found under Submission Guidelines/Instructions for Authors/Text) and word manuscripts (for which no templates are availabl e).

Manuscript length: Please note that the page limit for Special Issue submis sions differs from that of regular Computing submissions. Manuscripts submi tted to the Special Issue should not exceed 20 pages. Submission that do no t comply with this requirement are likely to be desk rejected without being reviewed.

Submission instruction: Manuscripts should be submitted using the online su bmission system at

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When submitting a manuscript for this special issue, authors should select ?SI: Autonomous Vehicle Solutions in the Digital Continuum? during the submission step 'Additional Information'.

Submissions of ?extended versions? of already published wor ks (e.g., conference/workshop papers) should be significantly extended with a relevant part of novel contribution (at least 30% new work). A ? Summary of Differences? between the submitted paper to this special issue and the former one must be included.

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