Unmanned ground vehicles are usually deployed in situations, where it is too dangerous or not feasible to have an operator onboard. One challenge faced when such vehicles are teleoperated is maintaining a high situational awareness, due to aspects such as limitation of cameras, characteristics of network transmission, and the lack of other sensory information, such as sounds and vibrations. Situation awareness refers to the understanding of the information, events, and actions that will impact the execution and the objectives of the tasks at the current and near future of the operation of the vehicle. This work investigates how the simultaneous use of immersive telepresence and mixed reality could impact the situation awareness of the operator and the navigation performance. A user study was performed to compare our proposed approach with a traditional unmanned vehicle control station. Quantitative data obtained from the vehicle’s behavior and the situation awareness global assessment technique were used to analyze such impacts. Results provide evidence that our approach is relevant when the task requires a detailed observation of the surroundings, leading to higher situation awareness and navigation performance.

通常将无人地面车辆部署在过于危险或无法让操作员登上的情况下。由于诸如照相机的限制，网络传输的特性以及缺少诸如声音和振动之类的其他感官信息的缺乏等方面，当这种车辆进行遥控操作时面临的挑战是保持高度的态势感知。态势感知是指对信息，事件和动作的理解，这些信息，事件和动作将影响当前和不久的将来车辆操作的任务的执行和目标。这项工作研究了沉浸式网真和混合现实的同时使用如何影响操作员的态势感知和导航性能。进行了一项用户研究，以将我们提出的方法与传统的无人驾驶汽车控制站进行比较。从车辆行为和态势感知全局评估技术获得的定量数据用于分析此类影响。结果提供了证据，表明当任务需要对周围环境进行详细观察时，我们的方法是相关的，从而提高了态势感知和导航性能。