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首页> 外文期刊>The international journal of virtual reality >Communications and Decisions o Autonomous Vehicles in Virtual Environments
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Communications and Decisions o Autonomous Vehicles in Virtual Environments

机译：虚拟环境中的自动驾驶车辆的通信和决策

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摘要

In many virtual environments, autonomous objects, such as people and vehicles, are essential to increase the feeling of presence. A goal is to have autonomous objects behave as humans, or in the case of vehicles, as if humans controlled them. Such objects are known as intelligent autonomous objects. We present a combination of a communication model and a decision-making model to achieve the goal of modeling autonomous objects that behave intelligently. Both models are attached to autonomous objects that represent people and vehicles in a virtual environment. This enables such an autonomous object to be an independent entity that is self-motivated and self-controlled. These intelligent autonomous objects are able to communicate with other autonomous objects via their communication model according to decisions reached by their decision-making model. The decision-making model relies on the communication model to investigate possible outcomes before making decisions. The communication model defines senders, receivers, contents, and channels (media through which content is transferred) in realtime to gather desired information from specified objects. The decision-making model is divided into two levels, the global level and the local level. These work, respectively, with global information perceived by a perception model and the local information received by the communications model. A group of logic rules are formulated as decision trees to model the process of making decisions on the basis of real-time activities. We used traffic and people, in a virtual environments based driving simulator, as examples of intelligent communicating autonomous objects.
机译：在许多虚拟环境中，诸如人和车辆之类的自主对象对于增加存在感至关重要。一个目标是使自主对象的行为像人类一样，或者在车辆的情况下，就像人类控制它们一样。这样的对象被称为智能自主对象。我们提出了通信模型和决策模型的组合，以实现对具有智能行为的自主对象进行建模的目标。这两个模型都附加到代表虚拟环境中人和车辆的自主对象。这使得这样的自治对象成为一个自我激励和自我控制的独立实体。这些智能自主对象能够根据其决策模型所达成的决策，通过其通信模型与其他自主对象进行通信。决策模型依靠沟通模型在做出决策之前调查可能的结果。通信模型实时定义发送者，接收者，内容和通道（通过其传输内容的媒体）以从指定对象收集所需信息。决策模型分为两个层次，即全局层次和局部层次。这些分别与感知模型感知的全局信息和通信模型接收的局部信息一起工作。一组逻辑规则被公式化为决策树，以基​​于实时活动对决策过程进行建模。我们在基于虚拟环境的驾驶模拟器中使用交通和人员，作为智能通信自主对象的示例。

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