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Mohan, Naveen
in Cooperation with on an Cooperation-Score of 37%
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Publications (11/11 displayed)
- 2020Programmable Systems for Intelligence in Automobiles (PRYSTINE) : Technical Progress after Year 2citations
- 2020Programmable Systems for Intelligence in Automobiles (PRYSTINE): Technical Progress after Year 2citations
- 2020Programmable Systems for Intelligence in Automobiles (PRYSTINE): Technical Progress after Year 2citations
- 2019A Method towards the Systematic Architecting of Functionally Safe Automated Driving -- Leveraging Diagnostic Specifications for FSC designcitations
- 2019Challenges in Architecting Fully Automated Driving; with an Emphasis on Heavy Commercial Vehiclescitations
- 2019Applying systems-theoretic process analysis in the context of cooperative drivingcitations
- 2019Architecting Safety Supervisors for High Levels of Automated Drivingcitations
- 2019AD-EYE: A Co-simulation Platform for Early Verification of Functional Safety Conceptscitations
- 2019Architecting Safe Automated Driving with Legacy Platforms
- 2018ATRIUM -- Architecting Under Uncertainty for ISO 26262 compliancecitations
- 2018Architecting Safe Automated Driving with Legacy Platforms
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article
Programmable Systems for Intelligence in Automobiles (PRYSTINE): Technical Progress after Year 2
Abstract
As originally submitted and published there was an error in this document. The authors subsequently provided the following text: "The article is a co-development of many authors from many organizations. Only the first author affiliation was provided on the article PDF. The following additional author affiliations are noted: Kaspars Ozols (Institute of Electronics and Computer Science, Latvia); Rihards Novickis (Institute of Electronics and Computer Science, Latvia); Aleksandrs Levinskis (Institute of Electronics and Computer Science, Latvia)." The original article PDF remains unchanged. ; Autonomous driving has the potential to disruptively change the automotive industry as we know it today. For this, fail-operational behavior is essential in the sense, plan, and act stages of the automation chain in order to handle safety-critical situations by its own, which currently is not reached with state-of-the-art approaches.The European ECSEL research project PRYSTINE realizes Fail-operational Urban Surround perceptION (FUSION) based on robust Radar and LiDAR sensor fusion and control functions in order to enable safe automated driving in urban and rural environments. This paper showcases some of the key results (e.g., novel Radar sensors, innovative embedded control and E/E architectures, pioneering sensor fusion approaches, AI controlled vehicle demonstrators) achieved until year 2. ; Peer reviewed
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