A framework that defines, describes, and iteratively verifies operational design domains for autonomous agricultural machinery by adding a process layer and condition-dependent variables to existing ODD concepts.
Agricultural Industry Initiatives on Autonomy: How collaborative initiatives of VDMA and AEF can facilitate complexity in domain crossing harmonization needs
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abstract
The agricultural industry is undergoing a significant transformation with the increasing adoption of autonomous technologies. Addressing complex challenges related to safety and security, components and validation procedures, and liability distribution is essential to facilitate the adoption of autonomous technologies. This paper explores the collaborative groups and initiatives undertaken to address these challenges. These groups investigate inter alia three focal topics: 1) describe the functional architecture of the operational range, 2) define the work context, i.e., the realistic scenarios that emerge in various agricultural applications, and 3) the static and dynamic detection cases that need to be detected by sensor sets. Linked by the Agricultural Operational Design Domain (Agri-ODD), use case descriptions, risk analysis, and questions of liability can be handled. By providing an overview of these collaborative initiatives, this paper aims to highlight the joint development of autonomous agricultural systems that enhance the overall efficiency of farming operations.
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Toward an Agricultural Operational Design Domain: A Framework
A framework that defines, describes, and iteratively verifies operational design domains for autonomous agricultural machinery by adding a process layer and condition-dependent variables to existing ODD concepts.