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Autonomy evaluation for intelligent vehicle based on multi-attribute decision making

机译:基于多属性决策的智能车辆自主评估

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An integrated autonomy evaluation method of intelligent vehicles based on multi-attribute decision making (MADM) is proposed. A hierarchical model with four dimensions is established, which covers vehicle's physical properties, sensor's function attributes, system's environment cognizing abilities and autonomous decision-making and mission executing abilities. MADM method is devised to calculate the weights of index in different layers, and eventual integrated autonomy result is received. An instance of autonomy evaluation is validated by couple of unmanned ground vehicles from our laboratory. The results indicate that the evaluation method is feasible and effective.
机译:提出了一种基于多属性决策(MADM)的智能车辆的综合自主评估方法。建立了具有四个维度的分层模型,涵盖了车辆的物理性质,传感器的功能属性,系统的环境认知能力和自主决策和任务执行能力。 MADM方法被设计为计算不同层中的索引权重,并且收到最终的集成自主结果。来自我们实验室的无人机底路的几个无人底路验证了自主评估的一个例子。结果表明评价方法是可行的,有效的。

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