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Automated Driving 

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  1. 2024 | OriginalPaper | Buchkapitel

    Liability for Automated and Autonomous Driving in Germany

    In 2017, regulations specifically addressing conditional vehicle automation were added to the Federal Road Traffic Act in Germany. In a further quantum leap, legal provisions for highly automated cars were introduced in 2021. The intention of the …

    verfasst von:
    Benjamin von Bodungen, Hans Steege
    Erschienen in:
    Autonomous Vehicles and Civil Liability in a Global Perspective (2024)
  2. 01.05.2024 | OriginalPaper

    Dynamic Model of Situation Awareness During Automated Driving

    Partial and conditional driving automation systems are still relying on human capabilities and set minimum requirements on the corresponding driver state. In the FAT project “DySAM - Dynamic measurement and assessment of situation awareness in …

  3. 2024 | OriginalPaper | Buchkapitel

    Investigation of Implicit and Contextual Cues for the Facilitation of Cooperative Automated Driving: A Qualitative Analysis

    Drivers are generally good at anticipating driving situations. They use implicit cues, such as lateral and longitudinal movements of other vehicles and contextual cues such as characteristics of the prevailing situation. These cues also help …

    verfasst von:
    Andre Dettmann, Adelina Berkemeier, Konstantin Felbel, Angelika C. Bullinger
    Erschienen in:
    Design Tools and Methods in Industrial Engineering III (2024)
  4. 2024 | OriginalPaper | Buchkapitel

    Sensor Fusion-Based Target Prediction System for Virtual Testing of Automated Driving System

    The perception system is one of the important components of autonomous vehicles, as it provides the information that is required by vehicle control to make decisions on the manoeuvre of the vehicle. The study focuses on the development of target …

    verfasst von:
    Ng Yuan Weun, Lee Kah Onn, Cheok Jun Hong, Vimal Rau Aparow
    Erschienen in:
    Intelligent Manufacturing and Mechatronics (2024)
  5. 20.03.2024 | Automated Driving | News | Online-Artikel

    Scaling Automated Driving for the Mass Market

    How can automated driving be implemented on a broad scale? For Mobileye CTO Shai Shalev-Shwartz, five "multi-problems" need to be solved, among other things, as he explains at the ATZlive conference "Automated Driving 2024".

  6. 2024 | OriginalPaper | Buchkapitel

    Automated Driving Vehicle Functionality as Guardian Angel

    The concept of the Guardian Angel system represents a pivotal advancement in vehicular safety, with a focus on enhancing the driving experience for individuals with diminished driving skills, particularly elderly drivers seeking to retain their …

    verfasst von:
    Joseba Sarabia, Sergio Diaz, Mauricio Marcano, Alexander Mirnig, Bharat Krishna Venkitachalam
    Erschienen in:
    Shaping Automated Driving to Achieve Societal Mobility Needs (2024)
  7. 2024 | Buch

    Shaping Automated Driving to Achieve Societal Mobility Needs

    A Human-Systems Integration Approach

    This edited book describes novel human-systems integration approaches to improve acceptance, safety, and comfort of automated vehicles. Each chapter analyses different aspects in the development of automated driving systems such as: assessing …

    Buchreihe:
    Lecture Notes in Mobility
    Verlag:
    Springer Nature Switzerland
  8. 22.01.2024 | Automated Driving | On Our Own | Online-Artikel
    On Our Own

    Automated Driving: Engineering Level X

    The 9th International ATZ Conference "Automated Driving" will focus on current developments in the field of automated driving and assistance systems. ATZlive and cooperation partner Continental invite you for an exchange of ideas to Frankfurt am Main (Germany) on March 19 and 20, 2024. Register now!

  9. 2024 | OriginalPaper | Buchkapitel

    Providing Evidence for the Validity of the Virtual Verification of Automated Driving Systems

    With the increasing complexity of automated driving systems, formal verification as well as statistical verification that solely relies on real-world testing methods, become infeasible. Virtual testing seems like a promising alternative to …

    verfasst von:
    Birte Neurohr, Thies de Graaff, Andreas Eggers, Tom Bienmüller, Eike Möhlmann
    Erschienen in:
    Dependable Computing – EDCC 2024 Workshops (2024)
  10. 2024 | OriginalPaper | Buchkapitel

    User-Centered Design of Automated Driving to Meet European Mobility Needs

    Automated Driving (AD) technologies are transforming the mobility sector, promising enhancements in efficiency and safety as well as user experience tailored to diverse user needs. As the sector moves toward a more automated ecosystem, it's …

    verfasst von:
    Carolin Zachäus, Sandra Trösterer, Cyril Marx, Peter Moertl
    Erschienen in:
    Shaping Automated Driving to Achieve Societal Mobility Needs (2024)
  11. 2024 | OriginalPaper | Buchkapitel

    Shaping Automated Driving to Meet Societal Mobility Needs: The HADRIAN Project

    Research and development of high levels of automated driving (AD) vehicles has received considerable attention in recent years. Thereby, for the time being, humans will remain actively involved to assure overall safety, whether as drivers, safety …

    verfasst von:
    Peter Moertl, Bernhard Brandstaetter
    Erschienen in:
    Shaping Automated Driving to Achieve Societal Mobility Needs (2024)
  12. 2024 | OriginalPaper | Buchkapitel

    Investigating Adversarial Policy Learning for Robust Agents in Automated Driving Highway Simulations

    This research explores an emerging approach, the adversarial policy learning paradigm, that aims to increase safety and robustness in deep reinforcement learning models for automated driving. We propose an iterative procedure to train an …

    verfasst von:
    Alessandro Pighetti, Francesco Bellotti, Changjae Oh, Luca Lazzaroni, Luca Forneris, Matteo Fresta, Riccardo Berta
    Erschienen in:
    Applications in Electronics Pervading Industry, Environment and Society (2024)
  13. 08.01.2024 | Automated Driving | News | Online-Artikel

    Automated Driving at Level 3 in the BMW 7 Series

    From 2024 in the BMW 7 Series: The hands-free function allows the driver to temporarily turn their attention away from the traffic while driving at speeds of up to 60 km/h.

  14. 01.01.2024 | OriginalPaper

    Consistent Evaluation of Automated Driving Functions Based on Vehicle-in-the-Loop

    Automated driving functions have become firmly established in the automotive industry. Particularly parking maneuvers lend themselves comparatively well to automation due to the low velocity and the small operating space. However, to be accepted …

  15. 2024 | OriginalPaper | Buchkapitel

    Simulation-Based Safety Testing of Automated Driving Systems

    An Automated Driving System (ADS) must undergo comprehensive safety testing before receiving a road permit. Since it is not clear what exactly constitutes sufficient safety for an ADS, one could assume that an ADS is safe enough if it is at least …

    verfasst von:
    Fauzia Khan, Hina Anwar, Dietmar Pfahl
    Erschienen in:
    Product-Focused Software Process Improvement (2024)
  16. Open Access 2022 | Open Access | Buch

    Deep Neural Networks and Data for Automated Driving

    Robustness, Uncertainty Quantification, and Insights Towards Safety

    This open access book brings together the latest developments from industry and research on automated driving and artificial intelligence. Environment perception for highly automated driving heavily employs deep neural networks, facing many …

    Verlag:
    Springer International Publishing
  17. Open Access 2022 | Open Access | Buch

    AVENUE21. Connected and Automated Driving: Prospects for Urban Europe

    This open access publication examines the impact of connected and automated vehicles on the European city and the conditions that can enable this technology to make a positive contribution to urban development. The authors argue for two theses …

    verfasst von:
    Dr. Mathias Mitteregger, Emilia M. Bruck, Aggelos Soteropoulos, Andrea Stickler, Prof. Dr. Martin Berger, Prof. Dr. Jens S. Dangschat, Prof. Rudolf Scheuvens, Ian Banerjee
    Verlag:
    Springer Berlin Heidelberg
  18. 01.12.2023 | OriginalPaper

    Prediction-based Optimization of Electric Powertrain Operation Using Silent Testing of Automated Driving Functions

    The development of automated driving (AD) is a continuously advancing process with gradual introduction of limited functionality, which today enables

  19. Open Access 28.07.2022 | OriginalPaper

    Realising Meaningful Human Control Over Automated Driving Systems: A Multidisciplinary Approach

    The paper presents a framework to realise “meaningful human control” over Automated Driving Systems. The framework is based on an original synthesis of the results of the multidisciplinary research project “Meaningful Human Control over Automated

  20. 2024 | OriginalPaper | Buchkapitel

    Building a Pipeline for Efficient Production of Synthetic Datasets for Improving RL in Automated Driving

    Online deep reinforcement learning training poses challenges due to its length and instability, despite the development of learning algorithms targeted to overcome these issues. Offline learning has emerged as a potential solution, but it …

    verfasst von:
    Luca Lazzaroni, Alessandro Pighetti, Francesco Bellotti, Riccardo Berta
    Erschienen in:
    Proceedings of SIE 2023 (2024)

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