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Development and experimental validation of high performance embedded intelligence and fail-operational urban surround perception solutions of the PRYSTINE project

Applied Sciences (Switzerland), ISSN: 2076-3417, Vol: 12, Issue: 1
2022
  • 2
    Citations
  • 0
    Usage
  • 11
    Captures
  • 1
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    2
    • Citation Indexes
      2
  • Captures
    11
  • Mentions
    1
    • News Mentions
      1
      • News
        1

Most Recent News

Studies from Institute of Electronics Describe New Findings in Applied Sciences (Development and Experimental Validation of High Performance Embedded Intelligence and Fail-Operational Urban Surround Perception Solutions of the PRYSTINE Project)

2022 DEC 08 (NewsRx) -- By a News Reporter-Staff News Editor at NewsRx Science Daily -- A new study on applied sciences is now available.

Article Description

Automated Driving Systems (ADSs) commend a substantial reduction of human-caused road accidents while simultaneously lowering emissions, mitigating congestion, decreasing energy consumption and increasing overall productivity. However, achieving higher SAE levels of driving automation and complying with ISO26262 C and D Automotive Safety Integrity Levels (ASILs) is a multi-disciplinary challenge that requires insights into safety-critical architectures, multi-modal perception and real-time control. This paper presents an assorted effort carried out in the European H2020 ECSEL project—PRYSTINE. In this paper, we (1) investigate Simplex, 1oo2d and hybrid fail-operational computing architectures, (2) devise a multi-modal perception system with fail-safety mechanisms, (3) present a passenger vehicle-based demonstrator for low-speed autonomy and (4) suggest a trust-based fusion approach validated on a heavy-duty truck.

Bibliographic Details

Rihards Novickis; Aleksandrs Levinskis; Vitalijs Fescenko; Roberts Kadikis; Kaspars Ozols; Anna Ryabokon; Rupert Schorn; Jochen Koszescha; Selim Solmaz; Georg Stettinger; Akwasi Adu-Kyere; Lauri Halla-Aho; Ethiopia Nigussie; Jouni Isoaho

MDPI AG

Materials Science; Physics and Astronomy; Engineering; Chemical Engineering; Computer Science

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