Search Results - "Nolte, Marcus"

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  1. 1

    Risk Management Core—Toward an Explicit Representation of Risk in Automated Driving by Salem, Nayel Fabian, Kirschbaum, Thomas, Nolte, Marcus, Lalitsch-Schneider, Christian, Graubohm, Robert, Reich, Jan, Maurer, Markus

    Published in IEEE access (2024)
    “…While current automotive safety standards provide implicit guidance on how unreasonable risk can be avoided, manufacturers are required to specify risk…”
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    Journal Article
  2. 2

    An Ontology-Based Approach Toward Traceable Behavior Specifications in Automated Driving by Salem, Nayel Fabian, Nolte, Marcus, Haber, Veronica, Menzel, Till, Steege, Hans, Graubohm, Robert, Maurer, Markus

    Published in IEEE access (2024)
    “…Automated vehicles in public traffic are subject to a number of expectations: Among other aspects, their behavior should be safe, conforming to the rules of…”
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    Journal Article
  3. 3

    Assessment of Deep Convolutional Neural Networks for Road Surface Classification by Nolte, Marcus, Kister, Nikita, Maurer, Markus

    “…When parameterizing vehicle control algorithms for stability or trajectory control, the road-tire friction coefficient is an essential model parameter when it…”
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    Conference Proceeding
  4. 4

    Model predictive control based trajectory generation for autonomous vehicles - An architectural approach by Nolte, Marcus, Rose, Marcel, Stolte, Torben, Maurer, Markus

    “…Research in the field of automated driving has created promising results in the last years. Some research groups have shown perception systems which are able…”
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    Conference Proceeding
  5. 5

    Towards Scenario- and Capability-Driven Dataset Development and Evaluation: An Approach in the Context of Mapless Automated Driving by Grun, Felix, Nolte, Marcus, Maurer, Markus

    “…The foundational role of datasets in defining the capabilities of deep learning models has led to their rapid proliferation. At the same time, published…”
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    Conference Proceeding
  6. 6

    An Ontology-based Approach Towards Traceable Behavior Specifications in Automated Driving by Salem, Nayel Fabian, Nolte, Marcus, Haber, Veronica, Menzel, Till, Steege, Hans, Graubohm, Robert, Maurer, Markus

    Published in IEEE access (07-11-2024)
    “…Automated vehicles in public traffic are subject to a number of expectations: Among other aspects, their behavior should be safe, conforming to the rules of…”
    Get full text
    Journal Article
  7. 7

    Risk Management Core - Towards an Explicit Representation of Risk in Automated Driving by Salem, Nayel Fabian, Kirschbaum, Thomas, Nolte, Marcus, Lalitsch-Schneider, Christian, Graubohm, Robert, Reich, Jan, Maurer, Markus

    Published in IEEE access (01-03-2024)
    “…While current automotive safety standards provide implicit guidance on how unreasonable risk can be avoided, manufacturers are required to specify risk…”
    Get full text
    Journal Article
  8. 8

    Sensitivity Analysis for Vehicle Dynamics Models - An Approach to Model Quality Assessment for Automated Vehicles by Nolte, Marcus, Schubert, Richard, Reisch, Cordula, Maurer, Markus

    “…Model-based approaches have become increasingly popular in the domain of automated driving. This includes runtime algorithms, such as Model Predictive Control,…”
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    Conference Proceeding
  9. 9

    ODD-Centric Contextual Sensitivity Analysis Applied To A Non-Linear Vehicle Dynamics Model by Schubert, Richard, Nolte, Marcus, de La Fortelle, Arnaud, Maurer, Markus

    “…Advanced driving functions, for assistance or full automation, require strong guarantees to be deployed. This means that such functions may not be available…”
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    Conference Proceeding
  10. 10

    Ability and skill graphs for system modeling, online monitoring, and decision support for vehicle guidance systems by Reschka, Andreas, Bagschik, Gerrit, Ulbrich, Simon, Nolte, Marcus, Maurer, Markus

    “…In this paper, the ability and skill graphs are introduced for modeling vehicle guidance systems in the concept phase of the development process (abilities),…”
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    Conference Proceeding
  11. 11

    Robust LSTM-based Vehicle Velocity Observer for Regular and Near-limits Applications by Ghosn, Agapius Bou, Nolte, Marcus, Polack, Philip, De La Fortelle, Arnaud, Maurer, Markus

    “…Accurate velocity estimation is key to vehicle control. While the literature describes how model-based and learning-based observers are able to estimate a…”
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    Conference Proceeding
  12. 12

    Self-awareness in autonomous automotive systems by Schlatow, Johannes, Moostl, Mischa, Ernst, Rolf, Nolte, Marcus, Jatzkowski, Inga, Maurer, Markus, Herber, Christian, Herkersdorf, Andreas

    “…Self-awareness has been used in many research fields in order to add autonomy to computing systems. In automotive systems, we face several system layers that…”
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    Conference Proceeding
  13. 13

    Towards Scenario- and Capability-Driven Dataset Development and Evaluation: An Approach in the Context of Mapless Automated Driving by Grün, Felix, Nolte, Marcus, Maurer, Markus

    Published 30-04-2024
    “…The foundational role of datasets in defining the capabilities of deep learning models has led to their rapid proliferation. At the same time, published…”
    Get full text
    Journal Article
  14. 14

    A Prototypical Expert-Driven Approach Towards Capability-Based Monitoring of Automated Driving Systems by Schubert, Richard, Kaufmann, Cedrik, Nolte, Marcus, Maurer, Markus

    Published 25-04-2024
    “…Supervising the safe operation of automated vehicles is a key requirement in order to unleash their full potential in future transportation systems. In…”
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    Journal Article
  15. 15

    Identifikation ausl\"osender Umst\"ande von SOTIF-Gef\"ahrdungen durch systemtheoretische Prozessanalyse by Graubohm, Robert, Loba, Marvin, Nolte, Marcus, Maurer, Markus

    Published 11-03-2024
    “…at - Automatisierungstechnik, vol. 71, no. 3, 2023, pp. 209-218 Developers have to obtain a sound understanding of existing risk potentials already in the…”
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    Journal Article
  16. 16

    A Dynamic Service-Oriented Software Architecture for Highly Automated Vehicles by Kampmann, Alexandru, Alrifaee, Bassam, Kohout, Markus, Wustenberg, Andreas, Woopen, Timo, Nolte, Marcus, Eckstein, Lutz, Kowalewski, Stefan

    “…We present an ecosystem comprised of multiple building blocks that are centered around a simple, pragmatic concept for service-oriented architectures (SOA)…”
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    Conference Proceeding
  17. 17

    ODD-Centric Contextual Sensitivity Analysis Applied To A Non-Linear Vehicle Dynamics Model by Schubert, Richard, Nolte, Marcus, de La Fortelle, Arnaud, Maurer, Markus

    Published 09-02-2023
    “…Advanced driving functions, for assistance or full automation, require strong guarantees to be deployed. This means that such functions may not be available…”
    Get full text
    Journal Article
  18. 18

    On Assumptions with Respect to Occlusions in Urban Environments for Automated Vehicle Speed Decisions by Graubohm, Robert, Salem, Nayel Fabian, Nolte, Marcus, Maurer, Markus

    Published 14-02-2024
    “…2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain, 2023, pp. 738-745 Automated driving systems are subject to…”
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    Journal Article
  19. 19

    An Ontology-based Approach Towards Traceable Behavior Specifications in Automated Driving by Salem, Nayel Fabian, Nolte, Marcus, Haber, Veronica, Menzel, Till, Steege, Hans, Graubohm, Robert, Maurer, Markus

    Published 15-11-2024
    “…IEEE Access, vol. 12, pp. 165203-165226, 2024 Vehicles in public traffic that are equipped with Automated Driving Systems are subject to a number of…”
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    Journal Article
  20. 20

    On Assumptions with Respect to Occlusions in Urban Environments for Automated Vehicle Speed Decisions by Graubohm, Robert, Salem, Nayel Fabian, Nolte, Marcus, Maurer, Markus

    “…Automated driving systems are subject to various kinds of uncertainty during design, development, and operation. These kinds of uncertainty lead to an inherent…”
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    Conference Proceeding