Development and Experimental Validation of High Performance Embedded Intelligence and Fail-Operational Urban Surround Perception Solutions of the PRYSTINE Project

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

doi:10.3390/app12010168

Development and Experimental Validation of High Performance Embedded Intelligence and Fail-Operational Urban Surround Perception Solutions of the PRYSTINE Project

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

^*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beitrag in einer Fachzeitschrift › Artikel › Begutachtung

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.

Originalsprache	englisch
Aufsatznummer	168
Fachzeitschrift	Applied Sciences
Jahrgang	12
Ausgabenummer	1
DOIs	https://doi.org/10.3390/app12010168
Publikationsstatus	Veröffentlicht - Jan. 2022

ASJC Scopus subject areas

Allgemeiner Maschinenbau
Instrumentierung
Allgemeine Materialwissenschaften
Fließ- und Transferprozesse von Flüssigkeiten
Prozesschemie und -technologie
Angewandte Informatik

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

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10.3390/app12010168Lizenz: CC BY 4.0

https://www.mdpi.com/2076-3417/12/1/168Lizenz: CC BY 4.0

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Novickis, R., Levinskis, A., Fescenko, V., Kadikis, R., Ozols, K., Ryabokon, A., Schorn, R., Koszescha, J., Solmaz, S., Stettinger, G., Adu-Kyere, A., Halla-aho, L., Nigussie, E., & Isoaho, J. (2022). Development and Experimental Validation of High Performance Embedded Intelligence and Fail-Operational Urban Surround Perception Solutions of the PRYSTINE Project. Applied Sciences, 12(1), Artikel 168. https://doi.org/10.3390/app12010168

Novickis, R, Levinskis, A, Fescenko, V, Kadikis, R, Ozols, K, Ryabokon, A, Schorn, R, Koszescha, J, Solmaz, S, Stettinger, G, Adu-Kyere, A, Halla-aho, L, Nigussie, E & Isoaho, J 2022, 'Development and Experimental Validation of High Performance Embedded Intelligence and Fail-Operational Urban Surround Perception Solutions of the PRYSTINE Project', Applied Sciences, Jg. 12, Nr. 1, 168. https://doi.org/10.3390/app12010168

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Development and Experimental Validation of High Performance Embedded Intelligence and Fail-Operational Urban Surround Perception Solutions of the PRYSTINE Project

Abstract

ASJC Scopus subject areas

UN SDGs

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