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

^*Corresponding author for this work

Working Group areaE

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Article number	168
Journal	Applied Sciences
Volume	12
Issue number	1
DOIs	https://doi.org/10.3390/app12010168
Publication status	Published - Jan 2022

Keywords

Architecture
Autonomous driving
Fail-operational
Parking
Perception
Trust

ASJC Scopus subject areas

Engineering(all)
Instrumentation
Materials Science(all)
Fluid Flow and Transfer Processes
Process Chemistry and Technology
Computer Science Applications

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3390/app12010168Licence: CC BY 4.0

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

Cite this

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), [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, vol. 12, no. 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

Keywords

ASJC Scopus subject areas

UN SDGs

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