农用自动驾驶需跨领域协同，德国两大协会推动标准化
Agricultural Industry Initiatives on Autonomy: How collaborative initiatives of VDMA and AEF can facilitate complexity in domain crossing harmonization needs
- 以农业操作设计域为核心，整合功能架构与应用场景
- 聚焦传感器检测、风险分析与责任界定三大关键问题
- 适合农机自动化研发与政策制定者参考
农业行业正经历自主技术广泛应用带来的深刻变革。为应对安全与保障、组件与验证流程、责任分配等复杂挑战，本文探讨了由德国机械制造协会（VDMA）与农业工程联合会（AEF）主导的协作机制。这些倡议聚焦三大核心议题：1）描述作业范围的功能架构；2）定义真实农业场景下的工作情境；3）传感器需识别的静态与动态检测案例。通过农业操作设计域（Agri-ODD）统一框架，可系统处理用例描述、风险评估与责任归属问题。本文旨在展示跨领域协作如何推动农业自动驾驶系统的联合开发，提升整体农事运营效率。
原文摘要 · Abstract (English)
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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