Design and Evaluation of a Customizable Multi-Domain Reference Architecture on Top of Product Lines of Self-Driving Heavy Vehicles - An Industrial Case Study

Jan Schroeder, D. Holzner, C. Berger, C. Hoel, L. Laine, Anders Magnusson
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引用次数: 10

Abstract

Self-driving vehicles for commercial use cases like logistics or overcast mines increase their owners' economic competitiveness. Volvo maintains, evolves, and distributes a vehicle control product line for different brands like Volvo Trucks, Renault, and Mack in more than 190 markets world-wide. From the different application domains of their customers originates the need for a multi-domain reference architecture concerned with transport mission planning, execution, and tracking on top of the vehicle control product line. This industrial case study is the first of its kind reporting about the systematic process to design such a reference architecture involving all relevant external and internal stakeholders, development documents, low level artifacts, and literature. Quantitative and qualitative metrics were applied to evaluate non-functional requirements on the reference architecture level before a concrete variant was evaluated using a Volvo FMX truck in an exemplary construction site setting.
基于自动驾驶重型车辆产品线的可定制多域参考架构的设计与评估——一个工业案例研究
用于物流或阴天矿山等商业用途的自动驾驶汽车提高了车主的经济竞争力。沃尔沃在全球190多个市场为沃尔沃卡车、雷诺和麦晋桁等不同品牌维护、发展和分销车辆控制产品线。从客户的不同应用领域中,产生了对车辆控制产品线之上涉及运输任务规划、执行和跟踪的多领域参考体系结构的需求。这个工业案例研究是第一个关于设计这样一个参考架构的系统过程的报告,这个参考架构涉及所有相关的外部和内部涉众、开发文档、低级工件和文献。在使用沃尔沃FMX卡车在示范建筑现场环境中评估具体变体之前,应用定量和定性指标来评估参考架构级别的非功能需求。
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