Special issue on Recent Advances in Autonomous Vehicle Solutions in the Digital Continuum
The domain of autonomous vehicle computing systems is changing rapidly under the pressure of an intense competition, the continuous emergence of new markets and players. Research and development in autonomous vehicles poses many challenges and opportunities both in hardware and software across the Digital Continuum: from sensors at the Edge to HPC resources in the Cloud. Hardware requirements range from specific processor architectures, efficient SIMD processing on graphics processors, and efficient memory hierarchy. Similarly, software requirements range from operating system support and specialized 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 vehicles in the Digital Continuum encompassing the Edge, Fog, and Cloud Computing. Topics of interest include, but are not limited to:
- Workload characterization and benchmarks for autonomous vehicles to be used in heterogeneous platforms.
- Special accelerator architectures and microarchitectures to be used on the Edge.
- Resource allocation approaches for autonomous vehicle computation needs.
- Scheduling heuristics and run time environment solutions to achieve better throughput in computing systems with different constraints.
- Framework and prototype experiences with integration of specialized components.
- Testbed implementations with heterogeneous computing resources for autonomous 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 distances.
- Techniques to facilitate configurability or configurable solutions.
- System evaluation and analysis of specialized platforms.
Ozcan Ozturk (Lead Guest Editor), Bilkent University (TR), email@example.com
Sabri Pllana, Linnaeus University (SE), firstname.lastname@example.org
Smaïl Niar, Université Polytechnique Hauts-de-France (FR), email@example.com
Kaoutar El Maghraoui, IBM Thomas J. Watson Research Center (US), firstname.lastname@example.org
Submission Due: 1st December 2020
First Review Notification: 1st February 2021
Revision Due: 1st March 2021
Final Review Notification: 1st May 2021
Formatting: All submitted manuscripts must be formatted according to Computing's Submission Guidelines/Instructions for Authors which are available at https://www.springer.com/journal/607. We will accept both LaTeX manuscripts (Springer templates to be found under Submission Guidelines/Instructions for Authors/Text) and word manuscripts (for which no templates are available).
Manuscript length: Please note that the page limit for Special Issue submissions differs from that of regular Computing submissions. Manuscripts submitted to the Special Issue should not exceed 20 pages. Submission that do not comply with this requirement are likely to be desk rejected without being reviewed.
Submission instruction: Manuscripts should be submitted using the online submission system at https://www.editorialmanager.com/comp/default.aspx.
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 works (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.