Proceedings of International Workshop on Engineering Simulations for Cyber-Physical Systems

C. Berger, I. Schaefer
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Abstract

Nowadays, simulative approaches are mandatory to analyze, design, evaluate, and to prepare real test-runs during the development of Cyber-Physical Systems (CPS) like advanced driver assistant system or health-monitor equipment for example. Simulations enable riskless and resource-efficient experiments to validate system functions and product families. For example, complex simulations of sensors and the environment are required during the development and validation of self-driving vehicles to safely test the sensor data fusion and algorithms for situation-adaptive driving decisions. The models, which are utilized in these simulations, are continuously improved and enable in the foreseeable future complex analyses of the simulated system, its behavior, and its context.
信息物理系统工程仿真国际研讨会论文集
如今,仿真方法在网络物理系统(CPS)的开发过程中,如高级驾驶辅助系统或健康监测设备,必须进行分析、设计、评估和准备真实的测试运行。模拟可以实现无风险和资源效率的实验,以验证系统功能和产品系列。例如,在自动驾驶汽车的开发和验证过程中,需要对传感器和环境进行复杂的模拟,以安全地测试传感器数据融合和算法,以进行情境自适应驾驶决策。在这些模拟中使用的模型不断得到改进,并能够在可预见的未来对模拟系统、其行为和其上下文进行复杂分析。
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