Autonomy-driven Emerging Directions in Software-defined Vehicles

Unmesh Bordoloi, Samarjit Chakraborty, Markus Jochim, Prachi Joshi, Arvind Raghuraman, S. Ramesh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Over the past two decades, the volume of electronics and software in cars have grown tremendously. But this growth has also resulted in hardware and software architectures that are proving to be a bottleneck for further innovation and efficient design flows, especially when implementing compute-intensive functions necessary for modern autonomous features. For example, centralized architectures that are driven by the use of more powerful processors result in higher sensor-to-actuator delays. Similarly, timing uncertainties increase as signal-based in-vehicle communication is being replaced by more dynamic service-oriented communication architectures. Finally, the increasing volume of software running on powerful multicore ECUs is making timing analysis, including WCET estimation, to be very complex. As a result, timing estimates, when safe, are very pessimistic, which makes efficient implementations to be difficult. In this position paper, we outline some of these emerging challenges and discuss potential solutions.

Original languageEnglish
Title of host publication2023 Design, Automation and Test in Europe Conference and Exhibition, DATE 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9783981926378
DOIs
StatePublished - 2023
Externally publishedYes
Event2023 Design, Automation and Test in Europe Conference and Exhibition, DATE 2023 - Antwerp, Belgium
Duration: 17 Apr 202319 Apr 2023

Publication series

NameProceedings -Design, Automation and Test in Europe, DATE
Volume2023-April
ISSN (Print)1530-1591

Conference

Conference2023 Design, Automation and Test in Europe Conference and Exhibition, DATE 2023
Country/TerritoryBelgium
CityAntwerp
Period17/04/2319/04/23

Keywords

  • Software-defined vehicles
  • autonomous vehicles

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