Towards Conceptually Elevating Modern Concepts of Operational Design Domains and Implications for Operating in Unstructured Environments. Eichenbaum, J., Bracht, L., Schulte-Tigges, J., Reke, M., Ferrein, A., & Scholl, I. In Yilmaz, M., Clarke, P., Riel, A., Messnarz, R., Greiner, C., & Peisl, T., editors, Systems, Software and Services Process Improvement (EuroSPI), pages 172–185, Cham, 2024. Springer Nature Switzerland.
Towards Conceptually Elevating Modern Concepts of Operational Design Domains and Implications for Operating in Unstructured Environments [link]Springer  doi  abstract   bibtex   
This paper explores the basic concepts of Operational Design Domains (ODDs) in the field of autonomous driving. We address the intricacies of different scenario descriptions and promote the communication of system requirements and operational constraints in the context of Automated Driving Systems (ADSs). Ongoing standardization efforts highlight the recognition of the importance of ODDs as a tool to manage the complexity of an ADS in accurately defining operational boundaries and conditions, particularly in structured environments. In line with this, our work explores the conceptual integration of multiple ODDs within an ADS to enable operation across different domains. Drawing on the existing literature on ODD extension concepts and leveraging insights from our research efforts, we strive for exemplary adaptation of operations in unstructured environments such as hybrid mines. A key focus is the translation of a solution that has been successfully tested in the context of hybrid mines and structured terrain into modern ODD frameworks. In particular, we focus on taxonomy as a fundamental element of an ODD framework. Through comparative analysis and evaluation of existing taxonomies, we aim to provide insights into the configuration of ODDs for both structured and unstructured environments, thereby contributing to their broader implementation in the dynamic landscape of autonomous driving technologies.
@InProceedings{ Eichenbaum-etAl_EuroSPI2024_Towards-Conceptually-Elevating-ODDs,
  author       = {Eichenbaum, Julian and Bracht, Leonard and Schulte-Tigges, Joschua and
                  Reke, Michael and Ferrein, Alexander and Scholl, Ingrid},
  editor       = "Yilmaz, Murat and Clarke, Paul and Riel, Andreas and
                  Messnarz, Richard and Greiner, Christian and Peisl, Thomas",
  title        = {{Towards Conceptually Elevating Modern Concepts of {O}perational {D}esign {D}omains
                  and Implications for Operating in Unstructured Environments}},
  booktitle    = "Systems, Software and Services Process Improvement (EuroSPI)",
  year         = "2024",
  publisher    = "Springer Nature Switzerland",
  address      = "Cham",
  pages        = "172--185",
  doi          = {10.1007/978-3-031-71142-8_13},
  url_springer = {https://link.springer.com/chapter/10.1007/978-3-031-71142-8_13},
  abstract     = "This paper explores the basic concepts of
                  Operational Design Domains (ODDs) in the field of
                  autonomous driving. We address the intricacies of
                  different scenario descriptions and promote the
                  communication of system requirements and operational
                  constraints in the context of Automated Driving
                  Systems (ADSs).
                  Ongoing standardization efforts highlight
		  the recognition of the importance of ODDs
                  as a tool to manage the complexity of an ADS in
                  accurately defining operational boundaries and
                  conditions, particularly in structured
                  environments. In line with this, our work explores
                  the conceptual integration of multiple ODDs within
                  an ADS to enable operation across different
                  domains. Drawing on the existing literature on ODD
                  extension concepts and leveraging insights from our
                  research efforts, we strive for exemplary adaptation
                  of operations in unstructured environments such as
                  hybrid mines. A key focus is the translation of a
                  solution that has been successfully tested in the
                  context of hybrid mines and structured terrain into
                  modern ODD frameworks. In particular, we focus on
                  taxonomy as a fundamental element of an ODD
                  framework. Through comparative analysis and
                  evaluation of existing taxonomies, we aim to provide
                  insights into the configuration of ODDs for both
                  structured and unstructured environments, thereby
                  contributing to their broader implementation in the
                  dynamic landscape of autonomous driving
                  technologies.",
  isbn         = "978-3-031-71142-8",
}
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