An integrated simulation framework for cognitive automobiles
An integrated simulation framework for cognitive automobiles
复制标题
认知汽车集成仿真框架
DOI：
10.1109/ivs.2007.4290118
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发表时间：
2007
期刊：
影响因子：
--
通讯作者：
Rüdiger Dillmann
中科院分区：
文献类型：
--
作者：
Stefan Vacek;Robert Nagel;Thomas Batz;Frank Moosmann;Rüdiger Dillmann
认知汽车是一个复杂的系统。不争的事实是，仿真是开发和测试这种复杂系统的有价值的工具。本文提出了一种支持认知汽车开发的集成闭环仿真框架。该框架旨在模拟市中心环境中的复杂交通场景。仿真的主要特点是为高级推理机制生成合成数据，为分析车对车通信策略和评估协作车辆行为提供数据。
A cognitive automobile is a complex system. It is an indisputable fact that simulations are valuable tools for the development and testing of such complex systems. This paper presents an integrated closed-loop simulation framework which supports the development of a cognitive automobile. The framework aims at simulating complex traffic scenes in inner-city environments. The key features of the simulation are the generation of synthetic data for high level inference mechanisms, providing data for the analysis of car-to-car communication strategies and evaluation of cooperative vehicle behavior.