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. Development and Experimental Validation of High Performance Embedded Intelligence and Fail-Operational Urban Surround Perception Solutions of the PRYSTINE Project. Applied Sciences, 12(1), 168 pp. 2021.
Bibtex citation:
Bibtex citation:
@article{11555_2021,
author = {Rihards Novickis and Aleksandrs Levinskis and Vitalijs Fescenko and Roberts Kadikis and Kaspars Ozols and Anna Ryabokon and Rupert Schorn and Jochen Koszescha and Selim Solmaz and Georg Stettinger and Akwasi Adu-Kyere and Lauri Halla-aho and Ethiopia Nigussie and Jouni Isoaho},
title = {Development and Experimental Validation of High Performance Embedded Intelligence and Fail-Operational Urban Surround Perception Solutions of the PRYSTINE Project},
journal = {Applied Sciences},
volume = {12},
issue = {1},
pages = {168},
year = {2021}
}
author = {Rihards Novickis and Aleksandrs Levinskis and Vitalijs Fescenko and Roberts Kadikis and Kaspars Ozols and Anna Ryabokon and Rupert Schorn and Jochen Koszescha and Selim Solmaz and Georg Stettinger and Akwasi Adu-Kyere and Lauri Halla-aho and Ethiopia Nigussie and Jouni Isoaho},
title = {Development and Experimental Validation of High Performance Embedded Intelligence and Fail-Operational Urban Surround Perception Solutions of the PRYSTINE Project},
journal = {Applied Sciences},
volume = {12},
issue = {1},
pages = {168},
year = {2021}
}
Abstract: 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.
Full text: applsci-12-00168-v2