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Towards Interactive Driver Assistance System to Realize a Safe and an Efficient Driving

机译：迈向交互式驾驶员辅助系统以实现安全高效的驾驶

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Human interactions are related to the possibility to fail. Making errors or acting non optimal is strongly connected to the nature of the human being. The causes of errors resulting in preparation for and during interaction may be manifold. In case of formalizable interaction environments an action-discrete modeling approach can be used, distinguishing situations and operators describing formalizable scenes and related actions. The incomplete understanding of the situation is one of the reasons making errors. For successful interaction several options to get the final goal situation are often possible. As example, during driving, the current situation may confuse the driver to make the right decision. The driver may have the possibility to achieve the goal in optimal manner. Using an assistance system, the driver- vehicle interaction is studied based on the developed Situation-Operator-Modeling (SOM) approach. With the help of SOM, a situated action space is built to predict the intention of the human driver and to identify the optimal action sequence according to the given goal. The human driver can be warned when the detected intention includes dangerous elements or may lead to dangerous situations. The predicted next optimal action with corresponding goal can be displayed to improve the situation awareness and to realize a more reliable human-machine-interaction. An appropriately designed interface will close the loop between the human driver, the driving system, and the environment. After perceiving the displayed suggestion, the human driver may make decision whether to follow the instruction. The paper focuses on the establishment of the theoretical concepts introducing a qualitative and quantitative concept to integrate the vehicle, human driver, and interface as a loop to realize a safe and efficient drive.
机译：人与人之间的互动与失败的可能性有关。犯错误或非最佳行为与人的天性息息相关。导致错误的原因以及为交互做准备的原因可能是多种多样的。在形式化交互环境的情况下，可以使用动作离散模型方法，以区分描述形式化场景和相关动作的情况和操作员。对情况的不完全理解是造成错误的原因之一。对于成功的互动，通常有几种选择来达到最终目标。例如，在驾驶过程中，当前状况可能会使驾驶员做出正确的决定。驾驶员可能有可能以最佳方式实现目标。使用辅助系统，基于已开发的情境-操作员建模（SOM）方法，研究了驾驶员与车辆之间的交互作用。在SOM的帮助下，建立了一个可定位的行动空间，以预测驾驶员的意图并根据给定的目标确定最佳行动顺序。当检测到的意图包括危险元素或可能导致危险情况时，可以警告驾驶员。可以显示具有相应目标的预测的下一个最佳动作，以提高态势感知并实现更可靠的人机交互。适当设计的界面将关闭驾驶员，驾驶系统和环境之间的循环。在感知到所显示的建议之后，驾驶员可以决定是否遵循该指令。本文着重于建立理论概念，引入定性和定量概念，以整合车辆，人类驾驶员和界面为回路，以实现安全高效的驾驶。

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